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Mind uploading – Wikipedia

Whole brain emulation (WBE), mind upload or brain upload (sometimes called “mind copying” or “mind transfer”) is the hypothetical futuristic process of scanning the mental state (including long-term memory and “self”) of a particular brain substrate and copying it to a computer. The computer could then run a simulation model of the brain’s information processing, such that it responds in essentially the same way as the original brain (i.e., indistinguishable from the brain for all relevant purposes) and experiences having a conscious mind.[1][2][3]

Mind uploading may potentially be accomplished by either of two methods: Copy-and-transfer or gradual replacement of neurons. In the case of the former method, mind uploading would be achieved by scanning and mapping the salient features of a biological brain, and then by copying, transferring, and storing that information state into a computer system or another computational device. The biological brain may not survive the copying process. The simulated mind could be within a virtual reality or simulated world, supported by an anatomic 3D body simulation model. Alternatively the simulated mind could reside in a computer that is inside (or connected to) a (not necessarily humanoid) robot or a biological body.[4]

Among some futurists and within the transhumanist movement, mind uploading is treated as an important proposed life extension technology. Some believe mind uploading is humanity’s current best option for preserving the identity of the species, as opposed to cryonics. Another aim of mind uploading is to provide a permanent backup to our “mind-file”, to enable interstellar space travels, and a means for human culture to survive a global disaster by making a functional copy of a human society in a Matrioshka brain, i.e. a computing device that consumes all energy from a star. Whole brain emulation is discussed by some futurists as a “logical endpoint”[4] of the topical computational neuroscience and neuroinformatics fields, both about brain simulation for medical research purposes. It is discussed in artificial intelligence research publications as an approach to strong AI. Computer-based intelligence such as an upload could think much faster than a biological human even if it were no more intelligent. A large-scale society of uploads might, according to futurists, give rise to a technological singularity, meaning a sudden time constant decrease in the exponential development of technology.[5] Mind uploading is a central conceptual feature of numerous science fiction novels and films.

Substantial mainstream research in related areas is being conducted in animal brain mapping and simulation, development of faster supercomputers, virtual reality, braincomputer interfaces, connectomics and information extraction from dynamically functioning brains.[6] According to supporters, many of the tools and ideas needed to achieve mind uploading already exist or are currently under active development; however, they will admit that others are, as yet, very speculative, but still in the realm of engineering possibility. Neuroscientist Randal Koene has formed a nonprofit organization called Carbon Copies to promote mind uploading research.

The human brain contains, on average, about 86 billion nerve cells called neurons, each individually linked to other neurons by way of connectors called axons and dendrites. Signals at the junctures (synapses) of these connections are transmitted by the release and detection of chemicals known as neurotransmitters. The established neuroscientific consensus is that the human mind is largely an emergent property of the information processing of this neural network.[citation needed]

Neuroscientists have stated that important functions performed by the mind, such as learning, memory, and consciousness, are due to purely physical and electrochemical processes in the brain and are governed by applicable laws. For example, Christof Koch and Giulio Tononi wrote in IEEE Spectrum:

Consciousness is part of the natural world. It depends, we believe, only on mathematics and logic and on the imperfectly known laws of physics, chemistry, and biology; it does not arise from some magical or otherworldly quality.[7]

The concept of mind uploading is based on this mechanistic view of the mind, and denies the vitalist view of human life and consciousness.[citation needed]

Eminent computer scientists and neuroscientists have predicted that specially programmed[clarification needed] computers will be capable of thought and even attain consciousness, including Koch and Tononi,[7] Douglas Hofstadter,[8] Jeff Hawkins,[8] Marvin Minsky,[9] Randal A. Koene, and Rodolfo Llinas.[10]

However, even though uploading is dependent upon such a general capability, it is conceptually distinct from general forms of AI in that it results from dynamic reanimation of information derived from a specific human mind so that the mind retains a sense of historical identity (other forms are possible but would compromise or eliminate the life-extension feature generally associated with uploading). The transferred and reanimated information would become a form of artificial intelligence, sometimes called an infomorph or “nomorph”.[citation needed]

Many theorists have presented models of the brain and have established a range of estimates of the amount of computing power needed for partial and complete simulations.[4][citation needed] Using these models, some have estimated that uploading may become possible within decades if trends such as Moore’s law continue.[11]

In theory, if the information and processes of the mind can be disassociated from the biological body, they are no longer tied to the individual limits and lifespan of that body. Furthermore, information within a brain could be partly or wholly copied or transferred to one or more other substrates (including digital storage or another brain), thereby from a purely mechanistic perspective reducing or eliminating “mortality risk” of such information. This general proposal was discussed in 1971 by biogerontologist George M. Martin of the University of Washington.[12]

An uploaded astronaut could be used instead of a “live” astronaut in human spaceflight, avoiding the perils of zero gravity, the vacuum of space, and cosmic radiation to the human body. It would allow for the use of smaller spacecraft, such as the proposed StarChip, and it would enable virtually unlimited interstellar travel distances.[13]

The focus of mind uploading, in the case of copy-and-transfer, is on data acquisition, rather than data maintenance of the brain. A set of approaches known as loosely coupled off-loading (LCOL) may be used in the attempt to characterize and copy the mental contents of a brain.[14] The LCOL approach may take advantage of self-reports, life-logs and video recordings that can be analyzed by artificial intelligence. A bottom-up approach may focus on the specific resolution and morphology of neurons, the spike times of neurons, the times at which neurons produce action potential responses.

Advocates of mind uploading point to Moore’s law to support the notion that the necessary computing power is expected to become available within a few decades. However, the actual computational requirements for running an uploaded human mind are very difficult to quantify, potentially rendering such an argument specious.

Regardless of the techniques used to capture or recreate the function of a human mind, the processing demands are likely to be immense, due to the large number of neurons in the human brain along with the considerable complexity of each neuron.

In 2004, Henry Markram, lead researcher of the “Blue Brain Project”, stated that “it is not [their] goal to build an intelligent neural network”, based solely on the computational demands such a project would have.[16]

It will be very difficult because, in the brain, every molecule is a powerful computer and we would need to simulate the structure and function of trillions upon trillions of molecules as well as all the rules that govern how they interact. You would literally need computers that are trillions of times bigger and faster than anything existing today.[17]

Five years later, after successful simulation of part of a rat brain, Markram was much more bold and optimistic. In 2009, as director of the Blue Brain Project, he claimed that A detailed, functional artificial human brain can be built within the next 10 years.[18]

Required computational capacity strongly depend on the chosen level of simulation model scale:[4]

Since the function of the human mind and how it might arise from the working of the brain’s neural network, are poorly understood issues, mind uploading relies on the idea of neural network emulation. Rather than having to understand the high-level psychological processes and large-scale structures of the brain, and model them using classical artificial intelligence methods and cognitive psychology models, the low-level structure of the underlying neural network is captured, mapped and emulated with a computer system. In computer science terminology,[dubious discuss] rather than analyzing and reverse engineering the behavior of the algorithms and data structures that resides in the brain, a blueprint of its source code is translated to another programming language. The human mind and the personal identity then, theoretically, is generated by the emulated neural network in an identical fashion to it being generated by the biological neural network.

On the other hand, a molecule-scale simulation of the brain is not expected to be required, provided that the functioning of the neurons is not affected by quantum mechanical processes. The neural network emulation approach only requires that the functioning and interaction of neurons and synapses are understood. It is expected that it is sufficient with a black-box signal processing model of how the neurons respond to nerve impulses (electrical as well as chemical synaptic transmission).

A sufficiently complex and accurate model of the neurons is required. A traditional artificial neural network model, for example multi-layer perceptron network model, is not considered as sufficient. A dynamic spiking neural network model is required, which reflects that the neuron fires only when a membrane potential reaches a certain level. It is likely that the model must include delays, non-linear functions and differential equations describing the relation between electrophysical parameters such as electrical currents, voltages, membrane states (ion channel states) and neuromodulators.

Since learning and long-term memory are believed to result from strengthening or weakening the synapses via a mechanism known as synaptic plasticity or synaptic adaptation, the model should include this mechanism. The response of sensory receptors to various stimuli must also be modelled.

Furthermore, the model may have to include metabolism, i.e. how the neurons are affected by hormones and other chemical substances that may cross the bloodbrain barrier. It is considered likely that the model must include currently unknown neuromodulators, neurotransmitters and ion channels. It is considered unlikely that the simulation model has to include protein interaction, which would make it computationally complex.[4]

A digital computer simulation model of an analog system such as the brain is an approximation that introduces random quantization errors and distortion. However, the biological neurons also suffer from randomness and limited precision, for example due to background noise. The errors of the discrete model can be made smaller than the randomness of the biological brain by choosing a sufficiently high variable resolution and sample rate, and sufficiently accurate models of non-linearities. The computational power and computer memory must however be sufficient to run such large simulations, preferably in real time.

When modelling and simulating the brain of a specific individual, a brain map or connectivity database showing the connections between the neurons must be extracted from an anatomic model of the brain. For whole brain simulation, this network map should show the connectivity of the whole nervous system, including the spinal cord, sensory receptors, and muscle cells. Destructive scanning of a small sample of tissue from a mouse brain including synaptic details is possible as of 2010.[19]

However, if short-term memory and working memory include prolonged or repeated firing of neurons, as well as intra-neural dynamic processes, the electrical and chemical signal state of the synapses and neurons may be hard to extract. The uploaded mind may then perceive a memory loss of the events and mental processes immediately before the time of brain scanning.[4]

A full brain map has been estimated to occupy less than 2 x 1016 bytes (20,000 TB) and would store the addresses of the connected neurons, the synapse type and the synapse “weight” for each of the brains’ 1015 synapses.[4][not in citation given] However, the biological complexities of true brain function (e.g. the epigenetic states of neurons, protein components with multiple functional states, etc.) may preclude an accurate prediction of the volume of binary data required to faithfully represent a functioning human mind.

A possible method for mind uploading is serial sectioning, in which the brain tissue and perhaps other parts of the nervous system are frozen and then scanned and analyzed layer by layer, which for frozen samples at nano-scale requires a cryo-ultramicrotome, thus capturing the structure of the neurons and their interconnections.[20] The exposed surface of frozen nerve tissue would be scanned and recorded, and then the surface layer of tissue removed. While this would be a very slow and labor-intensive process, research is currently underway to automate the collection and microscopy of serial sections.[21] The scans would then be analyzed, and a model of the neural net recreated in the system that the mind was being uploaded into.

There are uncertainties with this approach using current microscopy techniques. If it is possible to replicate neuron function from its visible structure alone, then the resolution afforded by a scanning electron microscope would suffice for such a technique.[21] However, as the function of brain tissue is partially determined by molecular events (particularly at synapses, but also at other places on the neuron’s cell membrane), this may not suffice for capturing and simulating neuron functions. It may be possible to extend the techniques of serial sectioning and to capture the internal molecular makeup of neurons, through the use of sophisticated immunohistochemistry staining methods that could then be read via confocal laser scanning microscopy. However, as the physiological genesis of ‘mind’ is not currently known, this method may not be able to access all of the necessary biochemical information to recreate a human brain with sufficient fidelity.

It may be possible to create functional 3D maps of the brain activity, using advanced neuroimaging technology, such as functional MRI (fMRI, for mapping change in blood flow), magnetoencephalography (MEG, for mapping of electrical currents), or combinations of multiple methods, to build a detailed three-dimensional model of the brain using non-invasive and non-destructive methods. Today, fMRI is often combined with MEG for creating functional maps of human cortex during more complex cognitive tasks, as the methods complement each other. Even though current imaging technology lacks the spatial resolution needed to gather the information needed for such a scan, important recent and future developments are predicted to substantially improve both spatial and temporal resolutions of existing technologies.[23]

There is ongoing work in the field of brain simulation, including partial and whole simulations of some animals. For example, the C. elegans roundworm, Drosophila fruit fly, and mouse have all been simulated to various degrees.[citation needed]

The Blue Brain Project by the Brain and Mind Institute of the cole Polytechnique Fdrale de Lausanne, Switzerland is an attempt to create a synthetic brain by reverse-engineering mammalian brain circuitry.

Underlying the concept of “mind uploading” (more accurately “mind transferring”) is the broad philosophy that consciousness lies within the brain’s information processing and is in essence an emergent feature that arises from large neural network high-level patterns of organization, and that the same patterns of organization can be realized in other processing devices. Mind uploading also relies on the idea that the human mind (the “self” and the long-term memory), just like non-human minds, is represented by the current neural network paths and the weights of the brain synapses rather than by a dualistic and mystic soul and spirit. The mind or “soul” can be defined as the information state of the brain, and is immaterial only in the same sense as the information content of a data file or the state of a computer software currently residing in the work-space memory of the computer. Data specifying the information state of the neural network can be captured and copied as a “computer file” from the brain and re-implemented into a different physical form.[24] This is not to deny that minds are richly adapted to their substrates.[25] An analogy to the idea of mind uploading is to copy the temporary information state (the variable values) of a computer program from the computer memory to another computer and continue its execution. The other computer may perhaps have different hardware architecture but emulates the hardware of the first computer.

These issues have a long history. In 1775 Thomas Reid wrote:[26] I would be glad to know… whether when my brain has lost its original structure, and when some hundred years after the same materials are fabricated so curiously as to become an intelligent being, whether, I say that being will be me; or, if, two or three such beings should be formed out of my brain; whether they will all be me, and consequently one and the same intelligent being.

A considerable portion of transhumanists and singularitarians place great hope into the belief that they may become immortal, by creating one or many non-biological functional copies of their brains, thereby leaving their “biological shell”. However, the philosopher and transhumanist Susan Schneider claims that at best, uploading would create a copy of the original person’s mind.[27] Susan Schneider agrees that consciousness has a computational basis, but this does not mean we can upload and survive. According to her views, “uploading” would probably result in the death of the original person’s brain, while only outside observers can maintain the illusion of the original person still being alive. For it is implausible to think that one’s consciousness would leave one’s brain and travel to a remote location; ordinary physical objects do not behave this way. Ordinary objects (rocks, tables, etc.) are not simultaneously here, and elsewhere. At best, a copy of the original mind is created.[27] Neural correlates of consciousness, a sub-branch of neuroscience, states that consciousness may be thought of as a state-dependent property of some undefined complex, adaptive, and highly interconnected biological system.[28]

Others have argued against such conclusions. For example, Buddhist transhumanist James Hughes has pointed out that this consideration only goes so far: if one believes the self is an illusion, worries about survival are not reasons to avoid uploading,[29] and Keith Wiley has presented an argument wherein all resulting minds of an uploading procedure are granted equal primacy in their claim to the original identity, such that survival of the self is determined retroactively from a strictly subjective position.[30][31] Some have also asserted that consciousness is a part of an extra-biological system that is yet to be discovered and cannot be fully understood under the present constraints of neurobiology. Without the transference of consciousness, true mind-upload or perpetual immortality cannot be practically achieved.[32]

Another potential consequence of mind uploading is that the decision to “upload” may then create a mindless symbol manipulator instead of a conscious mind (see philosophical zombie).[33][34] Are we to assume that an upload is conscious if it displays behaviors that are highly indicative of consciousness? Are we to assume that an upload is conscious if it verbally insists that it is conscious?[35] Could there be an absolute upper limit in processing speed above which consciousness cannot be sustained? The mystery of consciousness precludes a definitive answer to this question.[36] Numerous scientists, including Kurzweil, strongly believe that determining whether a separate entity is conscious (with 100% confidence) is fundamentally unknowable, since consciousness is inherently subjective (see solipsism). Regardless, some scientists strongly believe consciousness is the consequence of computational processes which are substrate-neutral. On the contrary, numerous scientists believe consciousness may be the result of some form of quantum computation dependent on substrate (see quantum mind).[37][38][39]

In light of uncertainty on whether to regard uploads as conscious, Sandberg proposes a cautious approach:[40]

Principle of assuming the most (PAM): Assume that any emulated system could have the same mental properties as the original system and treat it correspondingly.

It is argued that if a computational copy of one’s mind did exist, it would be impossible for one to verify this.[41] The argument for this stance is the following: for a computational mind to recognize an emulation of itself, it must be capable of deciding whether two Turing machines (namely, itself and the proposed emulation) are functionally equivalent. This task is uncomputable due to the undecidability of equivalence, thus there cannot exist a computational procedure in the mind that is capable of recognizing an emulation of itself.

The process of developing emulation technology raises ethical issues related to animal welfare and artificial consciousness.[40] The neuroscience required to develop brain emulation would require animal experimentation, first on invertebrates and then on small mammals before moving on to humans. Sometimes the animals would just need to be euthanized in order to extract, slice, and scan their brains, but sometimes behavioral and in vivo measures would be required, which might cause pain to living animals.[40]

In addition, the resulting animal emulations themselves might suffer, depending on one’s views about consciousness.[40] Bancroft argues for the plausibility of consciousness in brain simulations on the basis of the “fading qualia” thought experiment of David Chalmers. He then concludes:[42] If, as I argue above, a sufficiently detailed computational simulation of the brain is potentially operationally equivalent to an organic brain, it follows that we must consider extending protections against suffering to simulations.

It might help reduce emulation suffering to develop virtual equivalents of anaesthesia, as well as to omit processing related to pain and/or consciousness. However, some experiments might require a fully functioning and suffering animal emulation. Animals might also suffer by accident due to flaws and lack of insight into what parts of their brains are suffering.[40] Questions also arise regarding the moral status of partial brain emulations, as well as creating neuromorphic emulations that draw inspiration from biological brains but are built somewhat differently.[42]

Brain emulations could be erased by computer viruses or malware, without need to destroy the underlying hardware. This may make assassination easier than for physical humans. The attacker might take the computing power for its own use.[43]

Many questions arise regarding the legal personhood of emulations.[44] Would they be given the rights of biological humans? If a person makes an emulated copy of themselves and then dies, does the emulation inherit their property and official positions? Could the emulation ask to “pull the plug” when its biological version was terminally ill or in a coma? Would it help to treat emulations as adolescents for a few years so that the biological creator would maintain temporary control? Would criminal emulations receive the death penalty, or would they be given forced data modification as a form of “rehabilitation”? Could an upload have marriage and child-care rights?[44]

If simulated minds would come true and if they were assigned rights of their own, it may be difficult to ensure the protection of “digital human rights”. For example, social science researchers might be tempted to secretly expose simulated minds, or whole isolated societies of simulated minds, to controlled experiments in which many copies of the same minds are exposed (serially or simultaneously) to different test conditions.[citation needed]

Emulations could create a number of conditions that might increase risk of war, including inequality, changes of power dynamics, a possible technological arms race to build emulations first, first-strike advantages, strong loyalty and willingness to “die” among emulations, and triggers for racist, xenophobic, and religious prejudice.[43] If emulations run much faster than humans, there might not be enough time for human leaders to make wise decisions or negotiate. It is possible that humans would react violently against growing power of emulations, especially if they depress human wages. Emulations may not trust each other, and even well-intentioned defensive measures might be interpreted as offense.[43]

There are very few feasible technologies that humans have refrained from developing. The neuroscience and computer-hardware technologies that may make brain emulation possible are widely desired for other reasons, and logically their development will continue into the future. Assuming that emulation technology will arrive, a question becomes whether we should accelerate or slow its advance.[43]

Arguments for speeding up brain-emulation research:

Arguments for slowing down brain-emulation research:

Emulation research would also speed up neuroscience as a whole, which might accelerate medical advances, cognitive enhancement, lie detectors, and capability for psychological manipulation.[49]

Emulations might be easier to control than de novo AI because

As counterpoint to these considerations, Bostrom notes some downsides:

Ray Kurzweil, director of engineering at Google, claims to know and foresee that people will be able to “upload” their entire brains to computers and become “digitally immortal” by 2045. Kurzweil made this claim for many years, e.g. during his speech in 2013 at the Global Futures 2045 International Congress in New York, which claims to subscribe to a similar set of beliefs.[50] Mind uploading is also advocated by a number of researchers in neuroscience and artificial intelligence, such as Marvin Minsky[citation needed] while he was still alive. In 1993, Joe Strout created a small web site called the Mind Uploading Home Page, and began advocating the idea in cryonics circles and elsewhere on the net. That site has not been actively updated in recent years, but it has spawned other sites including MindUploading.org, run by Randal A. Koene, who also moderates a mailing list on the topic. These advocates see mind uploading as a medical procedure which could eventually save countless lives.

Many transhumanists look forward to the development and deployment of mind uploading technology, with transhumanists such as Nick Bostrom predicting that it will become possible within the 21st century due to technological trends such as Moore’s law.[4]

Michio Kaku, in collaboration with Science, hosted a documentary, Sci Fi Science: Physics of the Impossible, based on his book Physics of the Impossible. Episode four, titled “How to Teleport”, mentions that mind uploading via techniques such as quantum entanglement and whole brain emulation using an advanced MRI machine may enable people to be transported to vast distances at near light-speed.

The book Beyond Humanity: CyberEvolution and Future Minds by Gregory S. Paul & Earl D. Cox, is about the eventual (and, to the authors, almost inevitable) evolution of computers into sentient beings, but also deals with human mind transfer. Richard Doyle’s Wetwares: Experiments in PostVital Living deals extensively with uploading from the perspective of distributed embodiment, arguing for example that humans are currently part of the “artificial life phenotype”. Doyle’s vision reverses the polarity on uploading, with artificial life forms such as uploads actively seeking out biological embodiment as part of their reproductive strategy.

Kenneth D. Miller, a professor of neuroscience at Columbia and a co-director of the Center for Theoretical Neuroscience, raised doubts about the practicality of mind uploading. His major argument is that reconstructing neurons and their connections is in itself a formidable task, but it is far from being sufficient. Operation of the brain depends on the dynamics of electrical and biochemical signal exchange between neurons; therefore, capturing them in a single “frozen” state may prove insufficient. In addition, the nature of these signals may require modeling down to the molecular level and beyond. Therefore, while not rejecting the idea in principle, Miller believes that the complexity of the “absolute” duplication of an individual mind is insurmountable for the nearest hundreds of years.[51]

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Mind uploading – Wikipedia

Mind uploading – Wikipedia

Whole brain emulation (WBE), mind upload or brain upload (sometimes called “mind copying” or “mind transfer”) is the hypothetical futuristic process of scanning the mental state (including long-term memory and “self”) of a particular brain substrate and copying it to a computer. The computer could then run a simulation model of the brain’s information processing, such that it responds in essentially the same way as the original brain (i.e., indistinguishable from the brain for all relevant purposes) and experiences having a conscious mind.[1][2][3]

Mind uploading may potentially be accomplished by either of two methods: Copy-and-transfer or gradual replacement of neurons. In the case of the former method, mind uploading would be achieved by scanning and mapping the salient features of a biological brain, and then by copying, transferring, and storing that information state into a computer system or another computational device. The biological brain may not survive the copying process. The simulated mind could be within a virtual reality or simulated world, supported by an anatomic 3D body simulation model. Alternatively the simulated mind could reside in a computer that is inside (or connected to) a (not necessarily humanoid) robot or a biological body.[4]

Among some futurists and within the transhumanist movement, mind uploading is treated as an important proposed life extension technology. Some believe mind uploading is humanity’s current best option for preserving the identity of the species, as opposed to cryonics. Another aim of mind uploading is to provide a permanent backup to our “mind-file”, to enable interstellar space travels, and a means for human culture to survive a global disaster by making a functional copy of a human society in a Matrioshka brain, i.e. a computing device that consumes all energy from a star. Whole brain emulation is discussed by some futurists as a “logical endpoint”[4] of the topical computational neuroscience and neuroinformatics fields, both about brain simulation for medical research purposes. It is discussed in artificial intelligence research publications as an approach to strong AI. Computer-based intelligence such as an upload could think much faster than a biological human even if it were no more intelligent. A large-scale society of uploads might, according to futurists, give rise to a technological singularity, meaning a sudden time constant decrease in the exponential development of technology.[5] Mind uploading is a central conceptual feature of numerous science fiction novels and films.

Substantial mainstream research in related areas is being conducted in animal brain mapping and simulation, development of faster supercomputers, virtual reality, braincomputer interfaces, connectomics and information extraction from dynamically functioning brains.[6] According to supporters, many of the tools and ideas needed to achieve mind uploading already exist or are currently under active development; however, they will admit that others are, as yet, very speculative, but still in the realm of engineering possibility. Neuroscientist Randal Koene has formed a nonprofit organization called Carbon Copies to promote mind uploading research.

The human brain contains, on average, about 86 billion nerve cells called neurons, each individually linked to other neurons by way of connectors called axons and dendrites. Signals at the junctures (synapses) of these connections are transmitted by the release and detection of chemicals known as neurotransmitters. The established neuroscientific consensus is that the human mind is largely an emergent property of the information processing of this neural network.[citation needed]

Neuroscientists have stated that important functions performed by the mind, such as learning, memory, and consciousness, are due to purely physical and electrochemical processes in the brain and are governed by applicable laws. For example, Christof Koch and Giulio Tononi wrote in IEEE Spectrum:

Consciousness is part of the natural world. It depends, we believe, only on mathematics and logic and on the imperfectly known laws of physics, chemistry, and biology; it does not arise from some magical or otherworldly quality.[7]

The concept of mind uploading is based on this mechanistic view of the mind, and denies the vitalist view of human life and consciousness.[citation needed]

Eminent computer scientists and neuroscientists have predicted that specially programmed[clarification needed] computers will be capable of thought and even attain consciousness, including Koch and Tononi,[7] Douglas Hofstadter,[8] Jeff Hawkins,[8] Marvin Minsky,[9] Randal A. Koene, and Rodolfo Llinas.[10]

However, even though uploading is dependent upon such a general capability, it is conceptually distinct from general forms of AI in that it results from dynamic reanimation of information derived from a specific human mind so that the mind retains a sense of historical identity (other forms are possible but would compromise or eliminate the life-extension feature generally associated with uploading). The transferred and reanimated information would become a form of artificial intelligence, sometimes called an infomorph or “nomorph”.[citation needed]

Many theorists have presented models of the brain and have established a range of estimates of the amount of computing power needed for partial and complete simulations.[4][citation needed] Using these models, some have estimated that uploading may become possible within decades if trends such as Moore’s law continue.[11]

In theory, if the information and processes of the mind can be disassociated from the biological body, they are no longer tied to the individual limits and lifespan of that body. Furthermore, information within a brain could be partly or wholly copied or transferred to one or more other substrates (including digital storage or another brain), thereby from a purely mechanistic perspective reducing or eliminating “mortality risk” of such information. This general proposal was discussed in 1971 by biogerontologist George M. Martin of the University of Washington.[12]

An uploaded astronaut could be used instead of a “live” astronaut in human spaceflight, avoiding the perils of zero gravity, the vacuum of space, and cosmic radiation to the human body. It would allow for the use of smaller spacecraft, such as the proposed StarChip, and it would enable virtually unlimited interstellar travel distances.[13]

The focus of mind uploading, in the case of copy-and-transfer, is on data acquisition, rather than data maintenance of the brain. A set of approaches known as loosely coupled off-loading (LCOL) may be used in the attempt to characterize and copy the mental contents of a brain.[14] The LCOL approach may take advantage of self-reports, life-logs and video recordings that can be analyzed by artificial intelligence. A bottom-up approach may focus on the specific resolution and morphology of neurons, the spike times of neurons, the times at which neurons produce action potential responses.

Advocates of mind uploading point to Moore’s law to support the notion that the necessary computing power is expected to become available within a few decades. However, the actual computational requirements for running an uploaded human mind are very difficult to quantify, potentially rendering such an argument specious.

Regardless of the techniques used to capture or recreate the function of a human mind, the processing demands are likely to be immense, due to the large number of neurons in the human brain along with the considerable complexity of each neuron.

In 2004, Henry Markram, lead researcher of the “Blue Brain Project”, stated that “it is not [their] goal to build an intelligent neural network”, based solely on the computational demands such a project would have.[16]

It will be very difficult because, in the brain, every molecule is a powerful computer and we would need to simulate the structure and function of trillions upon trillions of molecules as well as all the rules that govern how they interact. You would literally need computers that are trillions of times bigger and faster than anything existing today.[17]

Five years later, after successful simulation of part of a rat brain, Markram was much more bold and optimistic. In 2009, as director of the Blue Brain Project, he claimed that A detailed, functional artificial human brain can be built within the next 10 years.[18]

Required computational capacity strongly depend on the chosen level of simulation model scale:[4]

Since the function of the human mind and how it might arise from the working of the brain’s neural network, are poorly understood issues, mind uploading relies on the idea of neural network emulation. Rather than having to understand the high-level psychological processes and large-scale structures of the brain, and model them using classical artificial intelligence methods and cognitive psychology models, the low-level structure of the underlying neural network is captured, mapped and emulated with a computer system. In computer science terminology,[dubious discuss] rather than analyzing and reverse engineering the behavior of the algorithms and data structures that resides in the brain, a blueprint of its source code is translated to another programming language. The human mind and the personal identity then, theoretically, is generated by the emulated neural network in an identical fashion to it being generated by the biological neural network.

On the other hand, a molecule-scale simulation of the brain is not expected to be required, provided that the functioning of the neurons is not affected by quantum mechanical processes. The neural network emulation approach only requires that the functioning and interaction of neurons and synapses are understood. It is expected that it is sufficient with a black-box signal processing model of how the neurons respond to nerve impulses (electrical as well as chemical synaptic transmission).

A sufficiently complex and accurate model of the neurons is required. A traditional artificial neural network model, for example multi-layer perceptron network model, is not considered as sufficient. A dynamic spiking neural network model is required, which reflects that the neuron fires only when a membrane potential reaches a certain level. It is likely that the model must include delays, non-linear functions and differential equations describing the relation between electrophysical parameters such as electrical currents, voltages, membrane states (ion channel states) and neuromodulators.

Since learning and long-term memory are believed to result from strengthening or weakening the synapses via a mechanism known as synaptic plasticity or synaptic adaptation, the model should include this mechanism. The response of sensory receptors to various stimuli must also be modelled.

Furthermore, the model may have to include metabolism, i.e. how the neurons are affected by hormones and other chemical substances that may cross the bloodbrain barrier. It is considered likely that the model must include currently unknown neuromodulators, neurotransmitters and ion channels. It is considered unlikely that the simulation model has to include protein interaction, which would make it computationally complex.[4]

A digital computer simulation model of an analog system such as the brain is an approximation that introduces random quantization errors and distortion. However, the biological neurons also suffer from randomness and limited precision, for example due to background noise. The errors of the discrete model can be made smaller than the randomness of the biological brain by choosing a sufficiently high variable resolution and sample rate, and sufficiently accurate models of non-linearities. The computational power and computer memory must however be sufficient to run such large simulations, preferably in real time.

When modelling and simulating the brain of a specific individual, a brain map or connectivity database showing the connections between the neurons must be extracted from an anatomic model of the brain. For whole brain simulation, this network map should show the connectivity of the whole nervous system, including the spinal cord, sensory receptors, and muscle cells. Destructive scanning of a small sample of tissue from a mouse brain including synaptic details is possible as of 2010.[19]

However, if short-term memory and working memory include prolonged or repeated firing of neurons, as well as intra-neural dynamic processes, the electrical and chemical signal state of the synapses and neurons may be hard to extract. The uploaded mind may then perceive a memory loss of the events and mental processes immediately before the time of brain scanning.[4]

A full brain map has been estimated to occupy less than 2 x 1016 bytes (20,000 TB) and would store the addresses of the connected neurons, the synapse type and the synapse “weight” for each of the brains’ 1015 synapses.[4][not in citation given] However, the biological complexities of true brain function (e.g. the epigenetic states of neurons, protein components with multiple functional states, etc.) may preclude an accurate prediction of the volume of binary data required to faithfully represent a functioning human mind.

A possible method for mind uploading is serial sectioning, in which the brain tissue and perhaps other parts of the nervous system are frozen and then scanned and analyzed layer by layer, which for frozen samples at nano-scale requires a cryo-ultramicrotome, thus capturing the structure of the neurons and their interconnections.[20] The exposed surface of frozen nerve tissue would be scanned and recorded, and then the surface layer of tissue removed. While this would be a very slow and labor-intensive process, research is currently underway to automate the collection and microscopy of serial sections.[21] The scans would then be analyzed, and a model of the neural net recreated in the system that the mind was being uploaded into.

There are uncertainties with this approach using current microscopy techniques. If it is possible to replicate neuron function from its visible structure alone, then the resolution afforded by a scanning electron microscope would suffice for such a technique.[21] However, as the function of brain tissue is partially determined by molecular events (particularly at synapses, but also at other places on the neuron’s cell membrane), this may not suffice for capturing and simulating neuron functions. It may be possible to extend the techniques of serial sectioning and to capture the internal molecular makeup of neurons, through the use of sophisticated immunohistochemistry staining methods that could then be read via confocal laser scanning microscopy. However, as the physiological genesis of ‘mind’ is not currently known, this method may not be able to access all of the necessary biochemical information to recreate a human brain with sufficient fidelity.

It may be possible to create functional 3D maps of the brain activity, using advanced neuroimaging technology, such as functional MRI (fMRI, for mapping change in blood flow), magnetoencephalography (MEG, for mapping of electrical currents), or combinations of multiple methods, to build a detailed three-dimensional model of the brain using non-invasive and non-destructive methods. Today, fMRI is often combined with MEG for creating functional maps of human cortex during more complex cognitive tasks, as the methods complement each other. Even though current imaging technology lacks the spatial resolution needed to gather the information needed for such a scan, important recent and future developments are predicted to substantially improve both spatial and temporal resolutions of existing technologies.[23]

There is ongoing work in the field of brain simulation, including partial and whole simulations of some animals. For example, the C. elegans roundworm, Drosophila fruit fly, and mouse have all been simulated to various degrees.[citation needed]

The Blue Brain Project by the Brain and Mind Institute of the cole Polytechnique Fdrale de Lausanne, Switzerland is an attempt to create a synthetic brain by reverse-engineering mammalian brain circuitry.

Underlying the concept of “mind uploading” (more accurately “mind transferring”) is the broad philosophy that consciousness lies within the brain’s information processing and is in essence an emergent feature that arises from large neural network high-level patterns of organization, and that the same patterns of organization can be realized in other processing devices. Mind uploading also relies on the idea that the human mind (the “self” and the long-term memory), just like non-human minds, is represented by the current neural network paths and the weights of the brain synapses rather than by a dualistic and mystic soul and spirit. The mind or “soul” can be defined as the information state of the brain, and is immaterial only in the same sense as the information content of a data file or the state of a computer software currently residing in the work-space memory of the computer. Data specifying the information state of the neural network can be captured and copied as a “computer file” from the brain and re-implemented into a different physical form.[24] This is not to deny that minds are richly adapted to their substrates.[25] An analogy to the idea of mind uploading is to copy the temporary information state (the variable values) of a computer program from the computer memory to another computer and continue its execution. The other computer may perhaps have different hardware architecture but emulates the hardware of the first computer.

These issues have a long history. In 1775 Thomas Reid wrote:[26] I would be glad to know… whether when my brain has lost its original structure, and when some hundred years after the same materials are fabricated so curiously as to become an intelligent being, whether, I say that being will be me; or, if, two or three such beings should be formed out of my brain; whether they will all be me, and consequently one and the same intelligent being.

A considerable portion of transhumanists and singularitarians place great hope into the belief that they may become immortal, by creating one or many non-biological functional copies of their brains, thereby leaving their “biological shell”. However, the philosopher and transhumanist Susan Schneider claims that at best, uploading would create a copy of the original person’s mind.[27] Susan Schneider agrees that consciousness has a computational basis, but this does not mean we can upload and survive. According to her views, “uploading” would probably result in the death of the original person’s brain, while only outside observers can maintain the illusion of the original person still being alive. For it is implausible to think that one’s consciousness would leave one’s brain and travel to a remote location; ordinary physical objects do not behave this way. Ordinary objects (rocks, tables, etc.) are not simultaneously here, and elsewhere. At best, a copy of the original mind is created.[27] Neural correlates of consciousness, a sub-branch of neuroscience, states that consciousness may be thought of as a state-dependent property of some undefined complex, adaptive, and highly interconnected biological system.[28]

Others have argued against such conclusions. For example, Buddhist transhumanist James Hughes has pointed out that this consideration only goes so far: if one believes the self is an illusion, worries about survival are not reasons to avoid uploading,[29] and Keith Wiley has presented an argument wherein all resulting minds of an uploading procedure are granted equal primacy in their claim to the original identity, such that survival of the self is determined retroactively from a strictly subjective position.[30][31] Some have also asserted that consciousness is a part of an extra-biological system that is yet to be discovered and cannot be fully understood under the present constraints of neurobiology. Without the transference of consciousness, true mind-upload or perpetual immortality cannot be practically achieved.[32]

Another potential consequence of mind uploading is that the decision to “upload” may then create a mindless symbol manipulator instead of a conscious mind (see philosophical zombie).[33][34] Are we to assume that an upload is conscious if it displays behaviors that are highly indicative of consciousness? Are we to assume that an upload is conscious if it verbally insists that it is conscious?[35] Could there be an absolute upper limit in processing speed above which consciousness cannot be sustained? The mystery of consciousness precludes a definitive answer to this question.[36] Numerous scientists, including Kurzweil, strongly believe that determining whether a separate entity is conscious (with 100% confidence) is fundamentally unknowable, since consciousness is inherently subjective (see solipsism). Regardless, some scientists strongly believe consciousness is the consequence of computational processes which are substrate-neutral. On the contrary, numerous scientists believe consciousness may be the result of some form of quantum computation dependent on substrate (see quantum mind).[37][38][39]

In light of uncertainty on whether to regard uploads as conscious, Sandberg proposes a cautious approach:[40]

Principle of assuming the most (PAM): Assume that any emulated system could have the same mental properties as the original system and treat it correspondingly.

It is argued that if a computational copy of one’s mind did exist, it would be impossible for one to verify this.[41] The argument for this stance is the following: for a computational mind to recognize an emulation of itself, it must be capable of deciding whether two Turing machines (namely, itself and the proposed emulation) are functionally equivalent. This task is uncomputable due to the undecidability of equivalence, thus there cannot exist a computational procedure in the mind that is capable of recognizing an emulation of itself.

The process of developing emulation technology raises ethical issues related to animal welfare and artificial consciousness.[40] The neuroscience required to develop brain emulation would require animal experimentation, first on invertebrates and then on small mammals before moving on to humans. Sometimes the animals would just need to be euthanized in order to extract, slice, and scan their brains, but sometimes behavioral and in vivo measures would be required, which might cause pain to living animals.[40]

In addition, the resulting animal emulations themselves might suffer, depending on one’s views about consciousness.[40] Bancroft argues for the plausibility of consciousness in brain simulations on the basis of the “fading qualia” thought experiment of David Chalmers. He then concludes:[42] If, as I argue above, a sufficiently detailed computational simulation of the brain is potentially operationally equivalent to an organic brain, it follows that we must consider extending protections against suffering to simulations.

It might help reduce emulation suffering to develop virtual equivalents of anaesthesia, as well as to omit processing related to pain and/or consciousness. However, some experiments might require a fully functioning and suffering animal emulation. Animals might also suffer by accident due to flaws and lack of insight into what parts of their brains are suffering.[40] Questions also arise regarding the moral status of partial brain emulations, as well as creating neuromorphic emulations that draw inspiration from biological brains but are built somewhat differently.[42]

Brain emulations could be erased by computer viruses or malware, without need to destroy the underlying hardware. This may make assassination easier than for physical humans. The attacker might take the computing power for its own use.[43]

Many questions arise regarding the legal personhood of emulations.[44] Would they be given the rights of biological humans? If a person makes an emulated copy of themselves and then dies, does the emulation inherit their property and official positions? Could the emulation ask to “pull the plug” when its biological version was terminally ill or in a coma? Would it help to treat emulations as adolescents for a few years so that the biological creator would maintain temporary control? Would criminal emulations receive the death penalty, or would they be given forced data modification as a form of “rehabilitation”? Could an upload have marriage and child-care rights?[44]

If simulated minds would come true and if they were assigned rights of their own, it may be difficult to ensure the protection of “digital human rights”. For example, social science researchers might be tempted to secretly expose simulated minds, or whole isolated societies of simulated minds, to controlled experiments in which many copies of the same minds are exposed (serially or simultaneously) to different test conditions.[citation needed]

Emulations could create a number of conditions that might increase risk of war, including inequality, changes of power dynamics, a possible technological arms race to build emulations first, first-strike advantages, strong loyalty and willingness to “die” among emulations, and triggers for racist, xenophobic, and religious prejudice.[43] If emulations run much faster than humans, there might not be enough time for human leaders to make wise decisions or negotiate. It is possible that humans would react violently against growing power of emulations, especially if they depress human wages. Emulations may not trust each other, and even well-intentioned defensive measures might be interpreted as offense.[43]

There are very few feasible technologies that humans have refrained from developing. The neuroscience and computer-hardware technologies that may make brain emulation possible are widely desired for other reasons, and logically their development will continue into the future. Assuming that emulation technology will arrive, a question becomes whether we should accelerate or slow its advance.[43]

Arguments for speeding up brain-emulation research:

Arguments for slowing down brain-emulation research:

Emulation research would also speed up neuroscience as a whole, which might accelerate medical advances, cognitive enhancement, lie detectors, and capability for psychological manipulation.[49]

Emulations might be easier to control than de novo AI because

As counterpoint to these considerations, Bostrom notes some downsides:

Ray Kurzweil, director of engineering at Google, claims to know and foresee that people will be able to “upload” their entire brains to computers and become “digitally immortal” by 2045. Kurzweil made this claim for many years, e.g. during his speech in 2013 at the Global Futures 2045 International Congress in New York, which claims to subscribe to a similar set of beliefs.[50] Mind uploading is also advocated by a number of researchers in neuroscience and artificial intelligence, such as Marvin Minsky[citation needed] while he was still alive. In 1993, Joe Strout created a small web site called the Mind Uploading Home Page, and began advocating the idea in cryonics circles and elsewhere on the net. That site has not been actively updated in recent years, but it has spawned other sites including MindUploading.org, run by Randal A. Koene, who also moderates a mailing list on the topic. These advocates see mind uploading as a medical procedure which could eventually save countless lives.

Many transhumanists look forward to the development and deployment of mind uploading technology, with transhumanists such as Nick Bostrom predicting that it will become possible within the 21st century due to technological trends such as Moore’s law.[4]

Michio Kaku, in collaboration with Science, hosted a documentary, Sci Fi Science: Physics of the Impossible, based on his book Physics of the Impossible. Episode four, titled “How to Teleport”, mentions that mind uploading via techniques such as quantum entanglement and whole brain emulation using an advanced MRI machine may enable people to be transported to vast distances at near light-speed.

The book Beyond Humanity: CyberEvolution and Future Minds by Gregory S. Paul & Earl D. Cox, is about the eventual (and, to the authors, almost inevitable) evolution of computers into sentient beings, but also deals with human mind transfer. Richard Doyle’s Wetwares: Experiments in PostVital Living deals extensively with uploading from the perspective of distributed embodiment, arguing for example that humans are currently part of the “artificial life phenotype”. Doyle’s vision reverses the polarity on uploading, with artificial life forms such as uploads actively seeking out biological embodiment as part of their reproductive strategy.

Kenneth D. Miller, a professor of neuroscience at Columbia and a co-director of the Center for Theoretical Neuroscience, raised doubts about the practicality of mind uploading. His major argument is that reconstructing neurons and their connections is in itself a formidable task, but it is far from being sufficient. Operation of the brain depends on the dynamics of electrical and biochemical signal exchange between neurons; therefore, capturing them in a single “frozen” state may prove insufficient. In addition, the nature of these signals may require modeling down to the molecular level and beyond. Therefore, while not rejecting the idea in principle, Miller believes that the complexity of the “absolute” duplication of an individual mind is insurmountable for the nearest hundreds of years.[51]

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Mind uploading – Wikipedia

Mind Hacks Neuroscience and psychology news and views.

Neuroscience and psychology news and views. I have a guest post for the Research Digest, snappily titled People who think their opinions are superior to others are most prone to overestimating their relevant knowledge and ignoring chances to learn more. The paper I review is about the so-called belief superiority effect, which is defined by thinking that your views are better than …

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Mind uploading in fiction – Wikipedia

Mind uploading, whole brain emulation or substrate-independent minds is a use of a computer or another substrate as an emulated human brain, and the view of thoughts and memories as software information states. The term mind transfer also refers to a hypothetical transfer of a mind from one biological brain to another. Uploaded minds and societies of minds, often in simulated realities, are recurring themes in science fiction novels and films since 1950s.

An early story featuring something like mind uploading is the novella Izzard and the Membrane by Walter M. Miller, Jr., first published in May 1951.[1] In this story, an American cyberneticist named Scott MacDonney is captured by Russians and made to work on an advanced computer, Izzard, which they plan to use to coordinate an attack on the United States. He has conversations with Izzard as he works on it, and when he asks it if it is self-aware, it says “answer indeterminate” and then asks “can human individual’s self-awareness transor be mechanically duplicated?” MacDonney is unfamiliar with the concept of a self-awareness transor (it is later revealed that this information was loaded into Izzard by a mysterious entity who may nor may not be God[2]), and Izzard defines it by saying “A self-awareness transor is the mathematical function which describes the specific consciousness pattern of one human individual.”[3] It is later found that this mathematical function can indeed be duplicated, although not by a detailed scan of the individual’s brain as in later notions of mind uploading; instead, Donney just has to describe the individual verbally in sufficient detail, and Izzard uses this information to locate the transor in the appropriate “mathematical region”. In Izzard’s words, “to duplicate consciousness of deceased, it will be necessary for you to furnish anthropometric and psychic characteristics of the individual. These characteristics will not determine transor, but will only give its general form. Knowing its form, will enable me to sweep my circuit pattern through its mathematical region until the proper transor is reached. At that point, the consciousness will appear among the circuits.”[4] Using this method, MacDonney is able to recreate the mind of his dead wife in Izzard’s memory, as well as create a virtual duplicate of himself, which seems to have a shared awareness with the biological MacDonney.

In The Altered Ego by Jerry Sohl (1954), a person’s mind can be “recorded” and used to create a “restoration” in the event of their death. In a restoration, the person’s biological body is repaired and brought back to life, and their memories are restored to the last time that they had their minds recorded (what the story calls a ‘brain record'[5]), an early example of a story in which a person can create periodic backups of their own mind. The recording process is not described in great detail, but it is mentioned that the recording is used to create a duplicate or “dupe” which is stored in the “restoration bank”,[6] and at one point a lecturer says that “The experience of the years, the neurograms, simple memory circuitsneurons, if you wishstored among these nerve cells, are transferred to the dupe, a group of more than ten billion molecules in colloidal suspension. They are charged much as you would charge the plates of a battery, the small neuroelectrical impulses emanating from your brain during the recording session being duplicated on the molecular structure in the solution.”[7] During restoration, they take the dupe and “infuse it into an empty brain”,[7] and the plot turns on the fact that it is possible to install one person’s dupe in the body of a completely different person.[8]

An early example featuring uploaded minds in robotic bodies can be found in Frederik Pohl’s story “The Tunnel Under the World” from 1955.[9] In this story, the protagonist Guy Burckhardt continually wakes up on the same date from a dream of dying in an explosion. Burckhardt is already familiar with the idea of putting human minds in robotic bodies, since this is what is done with the robot workers at the nearby Contro Chemical factory. As someone has once explained it to him, “each machine was controlled by a sort of computer which reproduced, in its electronic snarl, the actual memory and mind of a human being … It was only a matter, he said, of transferring a man’s habit patterns from brain cells to vacuum-tube cells.” Later in the story, Pohl gives some additional description of the procedure: “Take a master petroleum chemist, infinitely skilled in the separation of crude oil into its fractions. Strap him down, probe into his brain with searching electronic needles. The machine scans the patterns of the mind, translates what it sees into charts and sine waves. Impress these same waves on a robot computer and you have your chemist. Or a thousand copies of your chemist, if you wish, with all of his knowledge and skill, and no human limitations at all.” After some investigation, Burckhardt learns that his entire town had been killed in a chemical explosion, and the brains of the dead townspeople had been scanned and placed into miniature robotic bodies in a miniature replica of the town (as a character explains to him, ‘It’s as easy to transfer a pattern from a dead brain as a living one’), so that a businessman named Mr. Dorchin could charge companies to use the townspeople as test subjects for new products and advertisements.

Something close to the notion of mind uploading is very briefly mentioned in Isaac Asimov’s 1956 short story The Last Question: “One by one Man fused with AC, each physical body losing its mental identity in a manner that was somehow not a loss but a gain.” A more detailed exploration of the idea (and one in which individual identity is preserved, unlike in Asimov’s story) can be found in ArthurC. Clarke’s novel The City and the Stars, also from 1956 (this novel was a revised and expanded version of Clarke’s earlier story Against the Fall of Night, but the earlier version did not contain the elements relating to mind uploading). The story is set in a city named Diaspar one billion years in the future, where the minds of inhabitants are stored as patterns of information in the city’s Central Computer in between a series of 1000-year lives in cloned bodies. Various commentators identify this story as one of the first (if not the first) to deal with mind uploading, human-machine synthesis, and computerized immortality.[10][11][12][13]

Another of the “firsts” is the novel Detta r verkligheten (This is reality), 1968, by the renowned philosopher and logician Bertil Mrtensson, a novel in which he describes people living in an uploaded state as a means to control overpopulation. The uploaded people believe that they are “alive”, but in reality they are playing elaborate and advanced fantasy games. In a twist at the end, the author changes everything into one of the best “multiverse” ideas of science fiction.

In Robert Silverberg’s To Live Again (1969), an entire worldwide economy is built up around the buying and selling of “souls” (personas that have been tape-recorded at six-month intervals), allowing well-heeled consumers the opportunity to spend tens of millions of dollars on a medical treatment that uploads the most recent recordings of archived personalities into the minds of the buyers. Federal law prevents people from buying a “personality recording” unless the possessor first had died; similarly, two or more buyers were not allowed to own a “share” of the persona. In this novel, the personality recording always went to the highest bidder. However, when one attempted to buy (and therefore possess) too many personalities, there was the risk that one of the personas would wrest control of the body from the possessor.

In the 1982 novel Software, part of the Ware Tetralogy by Rudy Rucker, one of the main characters, Cobb Anderson, has his mind downloaded and his body replaced with an extremely human-like android body. The robots who persuade Anderson into doing this sell the process to him as a way to become immortal.

In William Gibson’s award-winning Neuromancer (1984), which popularized the concept of “cyberspace”, a hacking tool used by the main character is an artificial infomorph of a notorious cyber-criminal, Dixie Flatline. The infomorph only assists in exchange for the promise that he be deleted after the mission is complete.

The fiction of Greg Egan has explored many of the philosophical, ethical, legal, and identity aspects of mind transfer, as well as the financial and computing aspects (i.e. hardware, software, processing power) of maintaining “copies.” In Egan’s Permutation City (1994), Diaspora (1997) and Zendegi (2010), “copies” are made by computer simulation of scanned brain physiology. See also Egan’s “jewelhead” stories, where the mind is transferred from the organic brain to a small, immortal backup computer at the base of the skull, the organic brain then being surgically removed.

The movie The Matrix is commonly mistaken for a mind uploading movie, but with exception to suggestions in later movies, it is only about virtual reality and simulated reality, since the main character Neo’s physical brain still is required to reside his mind. The mind (the information content of the brain) is not copied into an emulated brain in a computer. Neo’s physical brain is connected into the Matrix via a brain-machine interface. Only the rest of the physical body is simulated. Neo is disconnected from and reconnected to this dreamworld.

James Cameron’s 2009 movie Avatar has so far been the commercially most successful example of a work of fiction that features a form of mind uploading. Throughout most of the movie, the hero’s mind has not actually been uploaded and transferred to another body, but is simply controlling the body from a distance, a form of telepresence. However, at the end of the movie the hero’s mind is uploaded into Eywa, the mind of the planet, and then back into his Avatar body.

Mind transfer is a theme in many other works of science fiction in a wide range of media. Specific examples include the following:

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Mind uploading in fiction – Wikipedia

Mind uploading – Wikipedia

Whole brain emulation (WBE), mind upload or brain upload (sometimes called “mind copying” or “mind transfer”) is the hypothetical futuristic process of scanning the mental state (including long-term memory and “self”) of a particular brain substrate and copying it to a computer. The computer could then run a simulation model of the brain’s information processing, such that it responds in essentially the same way as the original brain (i.e., indistinguishable from the brain for all relevant purposes) and experiences having a conscious mind.[1][2][3]

Mind uploading may potentially be accomplished by either of two methods: Copy-and-transfer or gradual replacement of neurons. In the case of the former method, mind uploading would be achieved by scanning and mapping the salient features of a biological brain, and then by copying, transferring, and storing that information state into a computer system or another computational device. The simulated mind could be within a virtual reality or simulated world, supported by an anatomic 3D body simulation model. Alternatively the simulated mind could reside in a computer that is inside (or connected to) a (not necessarily humanoid) robot or a biological body in real life.[4]

Among some futurists and within the transhumanist movement, mind uploading is treated as an important proposed life extension technology. Some believe mind uploading is humanity’s current best option for preserving the identity of the species, as opposed to cryonics. Another aim of mind uploading is to provide a permanent backup to our “mind-file”, to enable interstellar space travels, and a means for human culture to survive a global disaster by making a functional copy of a human society in a Matrioshka brain, i.e. a computing device that consumes all energy from a star. Whole brain emulation is discussed by some futurists as a “logical endpoint”[4] of the topical computational neuroscience and neuroinformatics fields, both about brain simulation for medical research purposes. It is discussed in artificial intelligence research publications as an approach to strong AI. Computer-based intelligence such as an upload could think much faster than a biological human even if it were no more intelligent. A large-scale society of uploads might, according to futurists, give rise to a technological singularity, meaning a sudden time constant decrease in the exponential development of technology.[5] Mind uploading is a central conceptual feature of numerous science fiction novels and films.

Substantial mainstream research in related areas is being conducted in animal brain mapping and simulation, development of faster supercomputers, virtual reality, braincomputer interfaces, connectomics and information extraction from dynamically functioning brains.[6] According to supporters, many of the tools and ideas needed to achieve mind uploading already exist or are currently under active development; however, they will admit that others are, as yet, very speculative, but still in the realm of engineering possibility. Neuroscientist Randal Koene has formed a nonprofit organization called Carbon Copies to promote mind uploading research.

The human brain contains, on average, about 86 billion nerve cells called neurons, each individually linked to other neurons by way of connectors called axons and dendrites. Signals at the junctures (synapses) of these connections are transmitted by the release and detection of chemicals known as neurotransmitters. The established neuroscientific consensus is that the human mind is largely an emergent property of the information processing of this neural network.[citation needed]

Neuroscientists have stated that important functions performed by the mind, such as learning, memory, and consciousness, are due to purely physical and electrochemical processes in the brain and are governed by applicable laws. For example, Christof Koch and Giulio Tononi wrote in IEEE Spectrum:

Consciousness is part of the natural world. It depends, we believe, only on mathematics and logic and on the imperfectly known laws of physics, chemistry, and biology; it does not arise from some magical or otherworldly quality.[7]

The concept of mind uploading is based on this mechanistic view of the mind, and denies the vitalist view of human life and consciousness.[citation needed]

Eminent computer scientists and neuroscientists have predicted that specially programmed computers will be capable of thought and even attain consciousness, including Koch and Tononi,[7] Douglas Hofstadter,[8] Jeff Hawkins,[8] Marvin Minsky,[9] Randal A. Koene, and Rodolfo Llinas.[10]

Such an artificial intelligence capability might provide a computational substrate necessary for uploading.

However, even though uploading is dependent upon such a general capability, it is conceptually distinct from general forms of AI in that it results from dynamic reanimation of information derived from a specific human mind so that the mind retains a sense of historical identity (other forms are possible but would compromise or eliminate the life-extension feature generally associated with uploading). The transferred and reanimated information would become a form of artificial intelligence, sometimes called an infomorph or “nomorph”.[citation needed]

Many theorists have presented models of the brain and have established a range of estimates of the amount of computing power needed for partial and complete simulations.[4][citation needed] Using these models, some have estimated that uploading may become possible within decades if trends such as Moore’s law continue.[11]

In theory, if the information and processes of the mind can be disassociated from the biological body, they are no longer tied to the individual limits and lifespan of that body. Furthermore, information within a brain could be partly or wholly copied or transferred to one or more other substrates (including digital storage or another brain), thereby from a purely mechanistic perspective reducing or eliminating “mortality risk” of such information. This general proposal was discussed in 1971 by biogerontologist George M. Martin of the University of Washington.[12]

An uploaded astronaut could be used instead of a “live” astronaut in human spaceflight, avoiding the perils of zero gravity, the vacuum of space, and cosmic radiation to the human body. It would allow for the use of smaller spacecraft, such as the proposed StarChip, and it would enable virtually unlimited interstellar travel distances.[13]

The focus of mind uploading, in the case of copy-and-transfer, is on data acquisition, rather than data maintenance of the brain. A set of approaches known as loosely coupled off-loading (LCOL) may be used in the attempt to characterize and copy the mental contents of a brain.[14] The LCOL approach may take advantage of self-reports, life-logs and video recordings that can be analyzed by artificial intelligence. A bottom-up approach may focus on the specific resolution and morphology of neurons, the spike times of neurons, the times at which neurons produce action potential responses.

Advocates of mind uploading point to Moore’s law to support the notion that the necessary computing power is expected to become available within a few decades. However, the actual computational requirements for running an uploaded human mind are very difficult to quantify, potentially rendering such an argument specious.

Regardless of the techniques used to capture or recreate the function of a human mind, the processing demands are likely to be immense, due to the large number of neurons in the human brain along with the considerable complexity of each neuron.

In 2004, Henry Markram, lead researcher of the “Blue Brain Project”, stated that “it is not [their] goal to build an intelligent neural network”, based solely on the computational demands such a project would have.[16]

It will be very difficult because, in the brain, every molecule is a powerful computer and we would need to simulate the structure and function of trillions upon trillions of molecules as well as all the rules that govern how they interact. You would literally need computers that are trillions of times bigger and faster than anything existing today.[17]

Five years later, after successful simulation of part of a rat brain, Markram was much more bold and optimistic. In 2009, as director of the Blue Brain Project, he claimed that A detailed, functional artificial human brain can be built within the next 10 years.[18]

Required computational capacity strongly depend on the chosen level of simulation model scale:[4]

Since the function of the human mind and how it might arise from the working of the brain’s neural network, are poorly understood issues, mind uploading relies on the idea of neural network emulation. Rather than having to understand the high-level psychological processes and large-scale structures of the brain, and model them using classical artificial intelligence methods and cognitive psychology models, the low-level structure of the underlying neural network is captured, mapped and emulated with a computer system. In computer science terminology,[dubious discuss] rather than analyzing and reverse engineering the behavior of the algorithms and data structures that resides in the brain, a blueprint of its source code is translated to another programming language. The human mind and the personal identity then, theoretically, is generated by the emulated neural network in an identical fashion to it being generated by the biological neural network.

On the other hand, a molecule-scale simulation of the brain is not expected to be required, provided that the functioning of the neurons is not affected by quantum mechanical processes. The neural network emulation approach only requires that the functioning and interaction of neurons and synapses are understood. It is expected that it is sufficient with a black-box signal processing model of how the neurons respond to nerve impulses (electrical as well as chemical synaptic transmission).

A sufficiently complex and accurate model of the neurons is required. A traditional artificial neural network model, for example multi-layer perceptron network model, is not considered as sufficient. A dynamic spiking neural network model is required, which reflects that the neuron fires only when a membrane potential reaches a certain level. It is likely that the model must include delays, non-linear functions and differential equations describing the relation between electrophysical parameters such as electrical currents, voltages, membrane states (ion channel states) and neuromodulators.

Since learning and long-term memory are believed to result from strengthening or weakening the synapses via a mechanism known as synaptic plasticity or synaptic adaptation, the model should include this mechanism. The response of sensory receptors to various stimuli must also be modelled.

Furthermore, the model may have to include metabolism, i.e. how the neurons are affected by hormones and other chemical substances that may cross the bloodbrain barrier. It is considered likely that the model must include currently unknown neuromodulators, neurotransmitters and ion channels. It is considered unlikely that the simulation model has to include protein interaction, which would make it computationally complex.[4]

A digital computer simulation model of an analog system such as the brain is an approximation that introduces random quantization errors and distortion. However, the biological neurons also suffer from randomness and limited precision, for example due to background noise. The errors of the discrete model can be made smaller than the randomness of the biological brain by choosing a sufficiently high variable resolution and sample rate, and sufficiently accurate models of non-linearities. The computational power and computer memory must however be sufficient to run such large simulations, preferably in real time.

When modelling and simulating the brain of a specific individual, a brain map or connectivity database showing the connections between the neurons must be extracted from an anatomic model of the brain. For whole brain simulation, this network map should show the connectivity of the whole nervous system, including the spinal cord, sensory receptors, and muscle cells. Destructive scanning of a small sample of tissue from a mouse brain including synaptic details is possible as of 2010.[19]

However, if short-term memory and working memory include prolonged or repeated firing of neurons, as well as intra-neural dynamic processes, the electrical and chemical signal state of the synapses and neurons may be hard to extract. The uploaded mind may then perceive a memory loss of the events and mental processes immediately before the time of brain scanning.[4]

A full brain map has been estimated to occupy less than 2 x 1016 bytes (20,000 TB) and would store the addresses of the connected neurons, the synapse type and the synapse “weight” for each of the brains’ 1015 synapses.[4][not in citation given] However, the biological complexities of true brain function (e.g. the epigenetic states of neurons, protein components with multiple functional states, etc.) may preclude an accurate prediction of the volume of binary data required to faithfully represent a functioning human mind.

A possible method for mind uploading is serial sectioning, in which the brain tissue and perhaps other parts of the nervous system are frozen and then scanned and analyzed layer by layer, which for frozen samples at nano-scale requires a cryo-ultramicrotome, thus capturing the structure of the neurons and their interconnections.[20] The exposed surface of frozen nerve tissue would be scanned and recorded, and then the surface layer of tissue removed. While this would be a very slow and labor-intensive process, research is currently underway to automate the collection and microscopy of serial sections.[21] The scans would then be analyzed, and a model of the neural net recreated in the system that the mind was being uploaded into.

There are uncertainties with this approach using current microscopy techniques. If it is possible to replicate neuron function from its visible structure alone, then the resolution afforded by a scanning electron microscope would suffice for such a technique.[21] However, as the function of brain tissue is partially determined by molecular events (particularly at synapses, but also at other places on the neuron’s cell membrane), this may not suffice for capturing and simulating neuron functions. It may be possible to extend the techniques of serial sectioning and to capture the internal molecular makeup of neurons, through the use of sophisticated immunohistochemistry staining methods that could then be read via confocal laser scanning microscopy. However, as the physiological genesis of ‘mind’ is not currently known, this method may not be able to access all of the necessary biochemical information to recreate a human brain with sufficient fidelity.

It may be possible to create functional 3D maps of the brain activity, using advanced neuroimaging technology, such as functional MRI (fMRI, for mapping change in blood flow), magnetoencephalography (MEG, for mapping of electrical currents), or combinations of multiple methods, to build a detailed three-dimensional model of the brain using non-invasive and non-destructive methods. Today, fMRI is often combined with MEG for creating functional maps of human cortex during more complex cognitive tasks, as the methods complement each other. Even though current imaging technology lacks the spatial resolution needed to gather the information needed for such a scan, important recent and future developments are predicted to substantially improve both spatial and temporal resolutions of existing technologies.[23]

There is ongoing work in the field of brain simulation, including partial and whole simulations of some animals. For example, the C. elegans roundworm, Drosophila fruit fly, and mouse have all been simulated to various degrees.[citation needed]

The Blue Brain Project by the Brain and Mind Institute of the cole Polytechnique Fdrale de Lausanne, Switzerland is an attempt to create a synthetic brain by reverse-engineering mammalian brain circuitry.

Underlying the concept of “mind uploading” (more accurately “mind transferring”) is the broad philosophy that consciousness lies within the brain’s information processing and is in essence an emergent feature that arises from large neural network high-level patterns of organization, and that the same patterns of organization can be realized in other processing devices. Mind uploading also relies on the idea that the human mind (the “self” and the long-term memory), just like non-human minds, is represented by the current neural network paths and the weights of the brain synapses rather than by a dualistic and mystic soul and spirit. The mind or “soul” can be defined as the information state of the brain, and is immaterial only in the same sense as the information content of a data file or the state of a computer software currently residing in the work-space memory of the computer. Data specifying the information state of the neural network can be captured and copied as a “computer file” from the brain and re-implemented into a different physical form.[24] This is not to deny that minds are richly adapted to their substrates.[25] An analogy to the idea of mind uploading is to copy the temporary information state (the variable values) of a computer program from the computer memory to another computer and continue its execution. The other computer may perhaps have different hardware architecture but emulates the hardware of the first computer.

These issues have a long history. In 1775 Thomas Reid wrote:[26] I would be glad to know… whether when my brain has lost its original structure, and when some hundred years after the same materials are fabricated so curiously as to become an intelligent being, whether, I say that being will be me; or, if, two or three such beings should be formed out of my brain; whether they will all be me, and consequently one and the same intelligent being.

A considerable portion of transhumanists and singularitarians place great hope into the belief that they may become immortal, by creating one or many non-biological functional copies of their brains, thereby leaving their “biological shell”. However, the philosopher and transhumanist Susan Schneider claims that at best, uploading would create a copy of the original person’s mind.[27] Susan Schneider agrees that consciousness has a computational basis, but this does not mean we can upload and survive. According to her views, “uploading” would probably result in the death of the original person’s brain, while only outside observers can maintain the illusion of the original person still being alive. For it is implausible to think that one’s consciousness would leave one’s brain and travel to a remote location; ordinary physical objects do not behave this way. Ordinary objects (rocks, tables, etc.) are not simultaneously here, and elsewhere. At best, a copy of the original mind is created.[27] Neural correlates of consciousness, a sub-branch of neuroscience, states that consciousness may be thought of as a state-dependent property of some undefined complex, adaptive, and highly interconnected biological system.[28]

Others have argued against such conclusions. For example, Buddhist transhumanist James Hughes has pointed out that this consideration only goes so far: if one believes the self is an illusion, worries about survival are not reasons to avoid uploading,[29] and Keith Wiley has presented an argument wherein all resulting minds of an uploading procedure are granted equal primacy in their claim to the original identity, such that survival of the self is determined retroactively from a strictly subjective position.[30][31] Some have also asserted that consciousness is a part of an extra-biological system that is yet to be discovered and cannot be fully understood under the present constraints of neurobiology. Without the transference of consciousness, true mind-upload or perpetual immortality cannot be practically achieved.[32]

Another potential consequence of mind uploading is that the decision to “upload” may then create a mindless symbol manipulator instead of a conscious mind (see philosophical zombie).[33][34] Are we to assume that an upload is conscious if it displays behaviors that are highly indicative of consciousness? Are we to assume that an upload is conscious if it verbally insists that it is conscious?[35] Could there be an absolute upper limit in processing speed above which consciousness cannot be sustained? The mystery of consciousness precludes a definitive answer to this question.[36] Numerous scientists, including Kurzweil, strongly believe that determining whether a separate entity is conscious (with 100% confidence) is fundamentally unknowable, since consciousness is inherently subjective (see solipsism). Regardless, some scientists strongly believe consciousness is the consequence of computational processes which are substrate-neutral. On the contrary, numerous scientists believe consciousness may be the result of some form of quantum computation dependent on substrate (see quantum mind).[37][38][39]

In light of uncertainty on whether to regard uploads as conscious, Sandberg proposes a cautious approach:[40]

Principle of assuming the most (PAM): Assume that any emulated system could have the same mental properties as the original system and treat it correspondingly.

It is argued that if a computational copy of one’s mind did exist, it would be impossible for one to verify this.[41] The argument for this stance is the following: for a computational mind to recognize an emulation of itself, it must be capable of deciding whether two Turing machines (namely, itself and the proposed emulation) are functionally equivalent. This task is uncomputable due to the undecidability of equivalence, thus there cannot exist a computational procedure in the mind that is capable of recognizing an emulation of itself.

The process of developing emulation technology raises ethical issues related to animal welfare and artificial consciousness.[40] The neuroscience required to develop brain emulation would require animal experimentation, first on invertebrates and then on small mammals before moving on to humans. Sometimes the animals would just need to be euthanized in order to extract, slice, and scan their brains, but sometimes behavioral and in vivo measures would be required, which might cause pain to living animals.[40]

In addition, the resulting animal emulations themselves might suffer, depending on one’s views about consciousness.[40] Bancroft argues for the plausibility of consciousness in brain simulations on the basis of the “fading qualia” thought experiment of David Chalmers. He then concludes:[42] If, as I argue above, a sufficiently detailed computational simulation of the brain is potentially operationally equivalent to an organic brain, it follows that we must consider extending protections against suffering to simulations.

It might help reduce emulation suffering to develop virtual equivalents of anaesthesia, as well as to omit processing related to pain and/or consciousness. However, some experiments might require a fully functioning and suffering animal emulation. Animals might also suffer by accident due to flaws and lack of insight into what parts of their brains are suffering.[40] Questions also arise regarding the moral status of partial brain emulations, as well as creating neuromorphic emulations that draw inspiration from biological brains but are built somewhat differently.[42]

Brain emulations could be erased by computer viruses or malware, without need to destroy the underlying hardware. This may make assassination easier than for physical humans. The attacker might take the computing power for its own use.[43]

Many questions arise regarding the legal personhood of emulations.[44] Would they be given the rights of biological humans? If a person makes an emulated copy of themselves and then dies, does the emulation inherit their property and official positions? Could the emulation ask to “pull the plug” when its biological version was terminally ill or in a coma? Would it help to treat emulations as adolescents for a few years so that the biological creator would maintain temporary control? Would criminal emulations receive the death penalty, or would they be given forced data modification as a form of “rehabilitation”? Could an upload have marriage and child-care rights?[44]

If simulated minds would come true and if they were assigned rights of their own, it may be difficult to ensure the protection of “digital human rights”. For example, social science researchers might be tempted to secretly expose simulated minds, or whole isolated societies of simulated minds, to controlled experiments in which many copies of the same minds are exposed (serially or simultaneously) to different test conditions.[citation needed]

Emulations could create a number of conditions that might increase risk of war, including inequality, changes of power dynamics, a possible technological arms race to build emulations first, first-strike advantages, strong loyalty and willingness to “die” among emulations, and triggers for racist, xenophobic, and religious prejudice.[43] If emulations run much faster than humans, there might not be enough time for human leaders to make wise decisions or negotiate. It is possible that humans would react violently against growing power of emulations, especially if they depress human wages. Emulations may not trust each other, and even well-intentioned defensive measures might be interpreted as offense.[43]

There are very few feasible technologies that humans have refrained from developing. The neuroscience and computer-hardware technologies that may make brain emulation possible are widely desired for other reasons, and logically their development will continue into the future. Assuming that emulation technology will arrive, a question becomes whether we should accelerate or slow its advance.[43]

Arguments for speeding up brain-emulation research:

Arguments for slowing down brain-emulation research:

Emulation research would also speed up neuroscience as a whole, which might accelerate medical advances, cognitive enhancement, lie detectors, and capability for psychological manipulation.[49]

Emulations might be easier to control than de novo AI because

As counterpoint to these considerations, Bostrom notes some downsides:

Ray Kurzweil, director of engineering at Google, claims to know and foresee that people will be able to “upload” their entire brains to computers and become “digitally immortal” by 2045. Kurzweil made this claim for many years, e.g. during his speech in 2013 at the Global Futures 2045 International Congress in New York, which claims to subscribe to a similar set of beliefs.[50] Mind uploading is also advocated by a number of researchers in neuroscience and artificial intelligence, such as Marvin Minsky[citation needed] while he was still alive. In 1993, Joe Strout created a small web site called the Mind Uploading Home Page, and began advocating the idea in cryonics circles and elsewhere on the net. That site has not been actively updated in recent years, but it has spawned other sites including MindUploading.org, run by Randal A. Koene, who also moderates a mailing list on the topic. These advocates see mind uploading as a medical procedure which could eventually save countless lives.

Many transhumanists look forward to the development and deployment of mind uploading technology, with transhumanists such as Nick Bostrom predicting that it will become possible within the 21st century due to technological trends such as Moore’s law.[4]

Michio Kaku, in collaboration with Science, hosted a documentary, Sci Fi Science: Physics of the Impossible, based on his book Physics of the Impossible. Episode four, titled “How to Teleport”, mentions that mind uploading via techniques such as quantum entanglement and whole brain emulation using an advanced MRI machine may enable people to be transported to vast distances at near light-speed.

The book Beyond Humanity: CyberEvolution and Future Minds by Gregory S. Paul & Earl D. Cox, is about the eventual (and, to the authors, almost inevitable) evolution of computers into sentient beings, but also deals with human mind transfer. Richard Doyle’s Wetwares: Experiments in PostVital Living deals extensively with uploading from the perspective of distributed embodiment, arguing for example that humans are currently part of the “artificial life phenotype”. Doyle’s vision reverses the polarity on uploading, with artificial life forms such as uploads actively seeking out biological embodiment as part of their reproductive strategy.

Kenneth D. Miller, a professor of neuroscience at Columbia and a co-director of the Center for Theoretical Neuroscience, raised doubts about the practicality of mind uploading. His major argument is that reconstructing neurons and their connections is in itself a formidable task, but it is far from being sufficient. Operation of the brain depends on the dynamics of electrical and biochemical signal exchange between neurons; therefore, capturing them in a single “frozen” state may prove insufficient. In addition, the nature of these signals may require modeling down to the molecular level and beyond. Therefore, while not rejecting the idea in principle, Miller believes that the complexity of the “absolute” duplication of an individual mind is insurmountable for the nearest hundreds of years.[51]

Link:

Mind uploading – Wikipedia

Mind Hacks Neuroscience and psychology news and views.

Neuroscience and psychology news and views. I have a guest post for the Research Digest, snappily titled People who think their opinions are superior to others are most prone to overestimating their relevant knowledge and ignoring chances to learn more. The paper I review is about the so-called belief superiority effect, which is defined by thinking that your views are better than …

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Mind Hacks Neuroscience and psychology news and views.

Mind Hacks Neuroscience and psychology news and views.

Spaced repetition is a memory hack. We know that spacing out your study is more effective than cramming, but using an app you can tailor your own spaced repetition schedule, allowing you to efficiently create reliable memories for any material you like.

Michael Nielsen, has a nice thread on his use of spaced repetition on twitter:

He covers how he chooses what to put into his review system, what the right amount of information is for each item, and what memory alone wont give you (understanding of the process which uses the memorised items). Nielsen is pretty enthusiastic about the benefits:

The single biggest change is that memory is no longer a haphazard event, to be left to chance. Rather, I can guarantee I will remember something, with minimal effort: it makes memory a choice.

There are lots of apps/programmes which can help you run a spaced repetition system, but Nielsen used Anki (ankiweb.net), which is open source, and has desktop and mobile clients (which sync between themselves, which is useful if you want to add information while at a computer, then review it on your mobile while you wait in line for coffee or whatever).

Checking Anki out, it seems pretty nice, and Ive realised I can use it to overcome a cognitive bias we all suffer from: a tendency to forget facts which are an inconvenient for our beliefs.

Charles Darwin notes this in his autobiography:

I had, also, during many years, followed a golden rule, namely, that whenever a published fact, a new observation or thought came across me, which was opposed to my general results, to make a memorandum of it without fail and at once; for I had found by experience that such facts and thoughts were far more apt to escape from the memory than favourable ones. Owing to this habit, very few objections were raised against my views which I had not at least noticed and attempted to answer.

(Darwin, 1856/1958, p123).

I have notebooks, and Darwins habit of forgetting unfavourable facts, but I wonder if my thinking might be improved by not just noting the facts, but being able to keep them in memory using a spaced repetition system. Im going to give it a go.

Links & Footnotes:

Anki app (ankiweb.net)

Wikipedia on space repetition systems

The Autobiography of Charles Darwin, 18091882, edited by Nora Barlow. London: Collins

For more on the science, see this recent review for educators: Weinstein, Y., Madan, C. R., & Sumeracki, M. A. (2018). Teaching the science of learning. Cognitive research: principles and implications, 3(1), 2.

I note that Anki-based spaced repetition also does a side serving of retrieval practice and interleaving (other effective learning techniques).

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Mind Hacks Neuroscience and psychology news and views.

Mind uploading in fiction – Wikipedia

Mind uploading, whole brain emulation or substrate-independent minds is a use of a computer or another substrate as an emulated human brain, and the view of thoughts and memories as software information states. The term mind transfer also refers to a hypothetical transfer of a mind from one biological brain to another. Uploaded minds and societies of minds, often in simulated realities, are recurring themes in science fiction novels and films since 1950s.

An early story featuring something like mind uploading is the novella Izzard and the Membrane by Walter M. Miller, Jr., first published in May 1951.[1] In this story, an American cyberneticist named Scott MacDonney is captured by Russians and made to work on an advanced computer, Izzard, which they plan to use to coordinate an attack on the United States. He has conversations with Izzard as he works on it, and when he asks it if it is self-aware, it says “answer indeterminate” and then asks “can human individual’s self-awareness transor be mechanically duplicated?” MacDonney is unfamiliar with the concept of a self-awareness transor (it is later revealed that this information was loaded into Izzard by a mysterious entity who may nor may not be God[2]), and Izzard defines it by saying “A self-awareness transor is the mathematical function which describes the specific consciousness pattern of one human individual.”[3] It is later found that this mathematical function can indeed be duplicated, although not by a detailed scan of the individual’s brain as in later notions of mind uploading; instead, Donney just has to describe the individual verbally in sufficient detail, and Izzard uses this information to locate the transor in the appropriate “mathematical region”. In Izzard’s words, “to duplicate consciousness of deceased, it will be necessary for you to furnish anthropometric and psychic characteristics of the individual. These characteristics will not determine transor, but will only give its general form. Knowing its form, will enable me to sweep my circuit pattern through its mathematical region until the proper transor is reached. At that point, the consciousness will appear among the circuits.”[4] Using this method, MacDonney is able to recreate the mind of his dead wife in Izzard’s memory, as well as create a virtual duplicate of himself, which seems to have a shared awareness with the biological MacDonney.

In The Altered Ego by Jerry Sohl (1954), a person’s mind can be “recorded” and used to create a “restoration” in the event of their death. In a restoration, the person’s biological body is repaired and brought back to life, and their memories are restored to the last time that they had their minds recorded (what the story calls a ‘brain record'[5]), an early example of a story in which a person can create periodic backups of their own mind. The recording process is not described in great detail, but it is mentioned that the recording is used to create a duplicate or “dupe” which is stored in the “restoration bank”,[6] and at one point a lecturer says that “The experience of the years, the neurograms, simple memory circuitsneurons, if you wishstored among these nerve cells, are transferred to the dupe, a group of more than ten billion molecules in colloidal suspension. They are charged much as you would charge the plates of a battery, the small neuroelectrical impulses emanating from your brain during the recording session being duplicated on the molecular structure in the solution.”[7] During restoration, they take the dupe and “infuse it into an empty brain”,[7] and the plot turns on the fact that it is possible to install one person’s dupe in the body of a completely different person.[8]

An early example featuring uploaded minds in robotic bodies can be found in Frederik Pohl’s story “The Tunnel Under the World” from 1955.[9] In this story, the protagonist Guy Burckhardt continually wakes up on the same date from a dream of dying in an explosion. Burckhardt is already familiar with the idea of putting human minds in robotic bodies, since this is what is done with the robot workers at the nearby Contro Chemical factory. As someone has once explained it to him, “each machine was controlled by a sort of computer which reproduced, in its electronic snarl, the actual memory and mind of a human being … It was only a matter, he said, of transferring a man’s habit patterns from brain cells to vacuum-tube cells.” Later in the story, Pohl gives some additional description of the procedure: “Take a master petroleum chemist, infinitely skilled in the separation of crude oil into its fractions. Strap him down, probe into his brain with searching electronic needles. The machine scans the patterns of the mind, translates what it sees into charts and sine waves. Impress these same waves on a robot computer and you have your chemist. Or a thousand copies of your chemist, if you wish, with all of his knowledge and skill, and no human limitations at all.” After some investigation, Burckhardt learns that his entire town had been killed in a chemical explosion, and the brains of the dead townspeople had been scanned and placed into miniature robotic bodies in a miniature replica of the town (as a character explains to him, ‘It’s as easy to transfer a pattern from a dead brain as a living one’), so that a businessman named Mr. Dorchin could charge companies to use the townspeople as test subjects for new products and advertisements.

Something close to the notion of mind uploading is very briefly mentioned in Isaac Asimov’s 1956 short story The Last Question: “One by one Man fused with AC, each physical body losing its mental identity in a manner that was somehow not a loss but a gain.” A more detailed exploration of the idea (and one in which individual identity is preserved, unlike in Asimov’s story) can be found in ArthurC. Clarke’s novel The City and the Stars, also from 1956 (this novel was a revised and expanded version of Clarke’s earlier story Against the Fall of Night, but the earlier version did not contain the elements relating to mind uploading). The story is set in a city named Diaspar one billion years in the future, where the minds of inhabitants are stored as patterns of information in the city’s Central Computer in between a series of 1000-year lives in cloned bodies. Various commentators identify this story as one of the first (if not the first) to deal with mind uploading, human-machine synthesis, and computerized immortality.[10][11][12][13]

Another of the “firsts” is the novel Detta r verkligheten (This is reality), 1968, by the renowned philosopher and logician Bertil Mrtensson, a novel in which he describes people living in an uploaded state as a means to control overpopulation. The uploaded people believe that they are “alive”, but in reality they are playing elaborate and advanced fantasy games. In a twist at the end, the author changes everything into one of the best “multiverse” ideas of science fiction.

In Robert Silverberg’s To Live Again (1969), an entire worldwide economy is built up around the buying and selling of “souls” (personas that have been tape-recorded at six-month intervals), allowing well-heeled consumers the opportunity to spend tens of millions of dollars on a medical treatment that uploads the most recent recordings of archived personalities into the minds of the buyers. Federal law prevents people from buying a “personality recording” unless the possessor first had died; similarly, two or more buyers were not allowed to own a “share” of the persona. In this novel, the personality recording always went to the highest bidder. However, when one attempted to buy (and therefore possess) too many personalities, there was the risk that one of the personas would wrest control of the body from the possessor.

In the 1982 novel Software, part of the Ware Tetralogy by Rudy Rucker, one of the main characters, Cobb Anderson, has his mind downloaded and his body replaced with an extremely human-like android body. The robots who persuade Anderson into doing this sell the process to him as a way to become immortal.

In William Gibson’s award-winning Neuromancer (1984), which popularized the concept of “cyberspace”, a hacking tool used by the main character is an artificial infomorph of a notorious cyber-criminal, Dixie Flatline. The infomorph only assists in exchange for the promise that he be deleted after the mission is complete.

The fiction of Greg Egan has explored many of the philosophical, ethical, legal, and identity aspects of mind transfer, as well as the financial and computing aspects (i.e. hardware, software, processing power) of maintaining “copies.” In Egan’s Permutation City (1994), Diaspora (1997) and Zendegi (2010), “copies” are made by computer simulation of scanned brain physiology. See also Egan’s “jewelhead” stories, where the mind is transferred from the organic brain to a small, immortal backup computer at the base of the skull, the organic brain then being surgically removed.

The movie The Matrix is commonly mistaken for a mind uploading movie, but with exception to suggestions in later movies, it is only about virtual reality and simulated reality, since the main character Neo’s physical brain still is required to reside his mind. The mind (the information content of the brain) is not copied into an emulated brain in a computer. Neo’s physical brain is connected into the Matrix via a brain-machine interface. Only the rest of the physical body is simulated. Neo is disconnected from and reconnected to this dreamworld.

James Cameron’s 2009 movie Avatar has so far been the commercially most successful example of a work of fiction that features a form of mind uploading. Throughout most of the movie, the hero’s mind has not actually been uploaded and transferred to another body, but is simply controlling the body from a distance, a form of telepresence. However, at the end of the movie the hero’s mind is uploaded into Eywa, the mind of the planet, and then back into his Avatar body.

Mind transfer is a theme in many other works of science fiction in a wide range of media. Specific examples include the following:

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Mind uploading in fiction – Wikipedia

Mind uploading – Wikipedia

Whole brain emulation (WBE), mind upload or brain upload (sometimes called “mind copying” or “mind transfer”) is the hypothetical futuristic process of scanning the mental state (including long-term memory and “self”) of a particular brain substrate and copying it to a computer. The computer could then run a simulation model of the brain’s information processing, such that it responds in essentially the same way as the original brain (i.e., indistinguishable from the brain for all relevant purposes) and experiences having a conscious mind.[1][2][3]

Mind uploading may potentially be accomplished by either of two methods: Copy-and-transfer or gradual replacement of neurons. In the case of the former method, mind uploading would be achieved by scanning and mapping the salient features of a biological brain, and then by copying, transferring, and storing that information state into a computer system or another computational device. The simulated mind could be within a virtual reality or simulated world, supported by an anatomic 3D body simulation model. Alternatively the simulated mind could reside in a computer that is inside (or connected to) a (not necessarily humanoid) robot or a biological body in real life.[4]

Among some futurists and within the transhumanist movement, mind uploading is treated as an important proposed life extension technology. Some believe mind uploading is humanity’s current best option for preserving the identity of the species, as opposed to cryonics. Another aim of mind uploading is to provide a permanent backup to our “mind-file”, to enable interstellar space travels, and a means for human culture to survive a global disaster by making a functional copy of a human society in a Matrioshka brain, i.e. a computing device that consumes all energy from a star. Whole brain emulation is discussed by some futurists as a “logical endpoint”[4] of the topical computational neuroscience and neuroinformatics fields, both about brain simulation for medical research purposes. It is discussed in artificial intelligence research publications as an approach to strong AI. Computer-based intelligence such as an upload could think much faster than a biological human even if it were no more intelligent. A large-scale society of uploads might, according to futurists, give rise to a technological singularity, meaning a sudden time constant decrease in the exponential development of technology.[5] Mind uploading is a central conceptual feature of numerous science fiction novels and films.

Substantial mainstream research in related areas is being conducted in animal brain mapping and simulation, development of faster supercomputers, virtual reality, braincomputer interfaces, connectomics and information extraction from dynamically functioning brains.[6] According to supporters, many of the tools and ideas needed to achieve mind uploading already exist or are currently under active development; however, they will admit that others are, as yet, very speculative, but still in the realm of engineering possibility. Neuroscientist Randal Koene has formed a nonprofit organization called Carbon Copies to promote mind uploading research.

The human brain contains, on average, about 86 billion nerve cells called neurons, each individually linked to other neurons by way of connectors called axons and dendrites. Signals at the junctures (synapses) of these connections are transmitted by the release and detection of chemicals known as neurotransmitters. The established neuroscientific consensus is that the human mind is largely an emergent property of the information processing of this neural network.[citation needed]

Neuroscientists have stated that important functions performed by the mind, such as learning, memory, and consciousness, are due to purely physical and electrochemical processes in the brain and are governed by applicable laws. For example, Christof Koch and Giulio Tononi wrote in IEEE Spectrum:

Consciousness is part of the natural world. It depends, we believe, only on mathematics and logic and on the imperfectly known laws of physics, chemistry, and biology; it does not arise from some magical or otherworldly quality.[7]

The concept of mind uploading is based on this mechanistic view of the mind, and denies the vitalist view of human life and consciousness.[citation needed]

Eminent computer scientists and neuroscientists have predicted that specially programmed computers will be capable of thought and even attain consciousness, including Koch and Tononi,[7] Douglas Hofstadter,[8] Jeff Hawkins,[8] Marvin Minsky,[9] Randal A. Koene, and Rodolfo Llinas.[10]

Such an artificial intelligence capability might provide a computational substrate necessary for uploading.

However, even though uploading is dependent upon such a general capability, it is conceptually distinct from general forms of AI in that it results from dynamic reanimation of information derived from a specific human mind so that the mind retains a sense of historical identity (other forms are possible but would compromise or eliminate the life-extension feature generally associated with uploading). The transferred and reanimated information would become a form of artificial intelligence, sometimes called an infomorph or “nomorph”.[citation needed]

Many theorists have presented models of the brain and have established a range of estimates of the amount of computing power needed for partial and complete simulations.[4][citation needed] Using these models, some have estimated that uploading may become possible within decades if trends such as Moore’s law continue.[11]

In theory, if the information and processes of the mind can be disassociated from the biological body, they are no longer tied to the individual limits and lifespan of that body. Furthermore, information within a brain could be partly or wholly copied or transferred to one or more other substrates (including digital storage or another brain), thereby from a purely mechanistic perspective reducing or eliminating “mortality risk” of such information. This general proposal was discussed in 1971 by biogerontologist George M. Martin of the University of Washington.[12]

An uploaded astronaut could be used instead of a “live” astronaut in human spaceflight, avoiding the perils of zero gravity, the vacuum of space, and cosmic radiation to the human body. It would allow for the use of smaller spacecraft, such as the proposed StarChip, and it would enable virtually unlimited interstellar travel distances.[13]

The focus of mind uploading, in the case of copy-and-transfer, is on data acquisition, rather than data maintenance of the brain. A set of approaches known as loosely coupled off-loading (LCOL) may be used in the attempt to characterize and copy the mental contents of a brain.[14] The LCOL approach may take advantage of self-reports, life-logs and video recordings that can be analyzed by artificial intelligence. A bottom-up approach may focus on the specific resolution and morphology of neurons, the spike times of neurons, the times at which neurons produce action potential responses.

Advocates of mind uploading point to Moore’s law to support the notion that the necessary computing power is expected to become available within a few decades. However, the actual computational requirements for running an uploaded human mind are very difficult to quantify, potentially rendering such an argument specious.

Regardless of the techniques used to capture or recreate the function of a human mind, the processing demands are likely to be immense, due to the large number of neurons in the human brain along with the considerable complexity of each neuron.

In 2004, Henry Markram, lead researcher of the “Blue Brain Project”, stated that “it is not [their] goal to build an intelligent neural network”, based solely on the computational demands such a project would have.[16]

It will be very difficult because, in the brain, every molecule is a powerful computer and we would need to simulate the structure and function of trillions upon trillions of molecules as well as all the rules that govern how they interact. You would literally need computers that are trillions of times bigger and faster than anything existing today.[17]

Five years later, after successful simulation of part of a rat brain, Markram was much more bold and optimistic. In 2009, as director of the Blue Brain Project, he claimed that A detailed, functional artificial human brain can be built within the next 10 years.[18]

Required computational capacity strongly depend on the chosen level of simulation model scale:[4]

Since the function of the human mind and how it might arise from the working of the brain’s neural network, are poorly understood issues, mind uploading relies on the idea of neural network emulation. Rather than having to understand the high-level psychological processes and large-scale structures of the brain, and model them using classical artificial intelligence methods and cognitive psychology models, the low-level structure of the underlying neural network is captured, mapped and emulated with a computer system. In computer science terminology,[dubious discuss] rather than analyzing and reverse engineering the behavior of the algorithms and data structures that resides in the brain, a blueprint of its source code is translated to another programming language. The human mind and the personal identity then, theoretically, is generated by the emulated neural network in an identical fashion to it being generated by the biological neural network.

On the other hand, a molecule-scale simulation of the brain is not expected to be required, provided that the functioning of the neurons is not affected by quantum mechanical processes. The neural network emulation approach only requires that the functioning and interaction of neurons and synapses are understood. It is expected that it is sufficient with a black-box signal processing model of how the neurons respond to nerve impulses (electrical as well as chemical synaptic transmission).

A sufficiently complex and accurate model of the neurons is required. A traditional artificial neural network model, for example multi-layer perceptron network model, is not considered as sufficient. A dynamic spiking neural network model is required, which reflects that the neuron fires only when a membrane potential reaches a certain level. It is likely that the model must include delays, non-linear functions and differential equations describing the relation between electrophysical parameters such as electrical currents, voltages, membrane states (ion channel states) and neuromodulators.

Since learning and long-term memory are believed to result from strengthening or weakening the synapses via a mechanism known as synaptic plasticity or synaptic adaptation, the model should include this mechanism. The response of sensory receptors to various stimuli must also be modelled.

Furthermore, the model may have to include metabolism, i.e. how the neurons are affected by hormones and other chemical substances that may cross the bloodbrain barrier. It is considered likely that the model must include currently unknown neuromodulators, neurotransmitters and ion channels. It is considered unlikely that the simulation model has to include protein interaction, which would make it computationally complex.[4]

A digital computer simulation model of an analog system such as the brain is an approximation that introduces random quantization errors and distortion. However, the biological neurons also suffer from randomness and limited precision, for example due to background noise. The errors of the discrete model can be made smaller than the randomness of the biological brain by choosing a sufficiently high variable resolution and sample rate, and sufficiently accurate models of non-linearities. The computational power and computer memory must however be sufficient to run such large simulations, preferably in real time.

When modelling and simulating the brain of a specific individual, a brain map or connectivity database showing the connections between the neurons must be extracted from an anatomic model of the brain. For whole brain simulation, this network map should show the connectivity of the whole nervous system, including the spinal cord, sensory receptors, and muscle cells. Destructive scanning of a small sample of tissue from a mouse brain including synaptic details is possible as of 2010.[19]

However, if short-term memory and working memory include prolonged or repeated firing of neurons, as well as intra-neural dynamic processes, the electrical and chemical signal state of the synapses and neurons may be hard to extract. The uploaded mind may then perceive a memory loss of the events and mental processes immediately before the time of brain scanning.[4]

A full brain map has been estimated to occupy less than 2 x 1016 bytes (20,000 TB) and would store the addresses of the connected neurons, the synapse type and the synapse “weight” for each of the brains’ 1015 synapses.[4][not in citation given] However, the biological complexities of true brain function (e.g. the epigenetic states of neurons, protein components with multiple functional states, etc.) may preclude an accurate prediction of the volume of binary data required to faithfully represent a functioning human mind.

A possible method for mind uploading is serial sectioning, in which the brain tissue and perhaps other parts of the nervous system are frozen and then scanned and analyzed layer by layer, which for frozen samples at nano-scale requires a cryo-ultramicrotome, thus capturing the structure of the neurons and their interconnections.[20] The exposed surface of frozen nerve tissue would be scanned and recorded, and then the surface layer of tissue removed. While this would be a very slow and labor-intensive process, research is currently underway to automate the collection and microscopy of serial sections.[21] The scans would then be analyzed, and a model of the neural net recreated in the system that the mind was being uploaded into.

There are uncertainties with this approach using current microscopy techniques. If it is possible to replicate neuron function from its visible structure alone, then the resolution afforded by a scanning electron microscope would suffice for such a technique.[21] However, as the function of brain tissue is partially determined by molecular events (particularly at synapses, but also at other places on the neuron’s cell membrane), this may not suffice for capturing and simulating neuron functions. It may be possible to extend the techniques of serial sectioning and to capture the internal molecular makeup of neurons, through the use of sophisticated immunohistochemistry staining methods that could then be read via confocal laser scanning microscopy. However, as the physiological genesis of ‘mind’ is not currently known, this method may not be able to access all of the necessary biochemical information to recreate a human brain with sufficient fidelity.

It may be possible to create functional 3D maps of the brain activity, using advanced neuroimaging technology, such as functional MRI (fMRI, for mapping change in blood flow), magnetoencephalography (MEG, for mapping of electrical currents), or combinations of multiple methods, to build a detailed three-dimensional model of the brain using non-invasive and non-destructive methods. Today, fMRI is often combined with MEG for creating functional maps of human cortex during more complex cognitive tasks, as the methods complement each other. Even though current imaging technology lacks the spatial resolution needed to gather the information needed for such a scan, important recent and future developments are predicted to substantially improve both spatial and temporal resolutions of existing technologies.[23]

There is ongoing work in the field of brain simulation, including partial and whole simulations of some animals. For example, the C. elegans roundworm, Drosophila fruit fly, and mouse have all been simulated to various degrees.[citation needed]

The Blue Brain Project by the Brain and Mind Institute of the cole Polytechnique Fdrale de Lausanne, Switzerland is an attempt to create a synthetic brain by reverse-engineering mammalian brain circuitry.

Underlying the concept of “mind uploading” (more accurately “mind transferring”) is the broad philosophy that consciousness lies within the brain’s information processing and is in essence an emergent feature that arises from large neural network high-level patterns of organization, and that the same patterns of organization can be realized in other processing devices. Mind uploading also relies on the idea that the human mind (the “self” and the long-term memory), just like non-human minds, is represented by the current neural network paths and the weights of the brain synapses rather than by a dualistic and mystic soul and spirit. The mind or “soul” can be defined as the information state of the brain, and is immaterial only in the same sense as the information content of a data file or the state of a computer software currently residing in the work-space memory of the computer. Data specifying the information state of the neural network can be captured and copied as a “computer file” from the brain and re-implemented into a different physical form.[24] This is not to deny that minds are richly adapted to their substrates.[25] An analogy to the idea of mind uploading is to copy the temporary information state (the variable values) of a computer program from the computer memory to another computer and continue its execution. The other computer may perhaps have different hardware architecture but emulates the hardware of the first computer.

These issues have a long history. In 1775 Thomas Reid wrote:[26] I would be glad to know… whether when my brain has lost its original structure, and when some hundred years after the same materials are fabricated so curiously as to become an intelligent being, whether, I say that being will be me; or, if, two or three such beings should be formed out of my brain; whether they will all be me, and consequently one and the same intelligent being.

A considerable portion of transhumanists and singularitarians place great hope into the belief that they may become immortal, by creating one or many non-biological functional copies of their brains, thereby leaving their “biological shell”. However, the philosopher and transhumanist Susan Schneider claims that at best, uploading would create a copy of the original person’s mind.[27] Susan Schneider agrees that consciousness has a computational basis, but this does not mean we can upload and survive. According to her views, “uploading” would probably result in the death of the original person’s brain, while only outside observers can maintain the illusion of the original person still being alive. For it is implausible to think that one’s consciousness would leave one’s brain and travel to a remote location; ordinary physical objects do not behave this way. Ordinary objects (rocks, tables, etc.) are not simultaneously here, and somewhere else. At best, a copy of the original mind is created.[27] Neural correlates of consciousness, a sub-branch of neuroscience, states that consciousness may be thought of as a state-dependent property of some undefined complex, adaptive, and highly interconnected biological system.[28]

Others have argued against such conclusions. For example, Buddhist transhumanist James Hughes has pointed out that this consideration only goes so far: if one believes the self is an illusion, worries about survival are not reasons to avoid uploading,[29] and Keith Wiley has presented an argument wherein all resulting minds of an uploading procedure are granted equal primacy in their claim to the original identity, such that survival of the self is determined retroactively from a strictly subjective position.[30][31] Some have also asserted that consciousness is a part of an extra-biological system that is yet to be discovered and cannot be fully understood under the present constraints of neurobiology. Without the transference of consciousness, true mind-upload or perpetual immortality cannot be practically achieved.[32]

Another potential consequence of mind uploading is that the decision to “upload” may then create a mindless symbol manipulator instead of a conscious mind (see philosophical zombie).[33][34] Are we to assume that an upload is conscious if it displays behaviors that are highly indicative of consciousness? Are we to assume that an upload is conscious if it verbally insists that it is conscious?[35] Could there be an absolute upper limit in processing speed above which consciousness cannot be sustained? The mystery of consciousness precludes a definitive answer to this question.[36] Numerous scientists, including Kurzweil, strongly believe that determining whether a separate entity is conscious (with 100% confidence) is fundamentally unknowable, since consciousness is inherently subjective (see solipsism). Regardless, some scientists strongly believe consciousness is the consequence of computational processes which are substrate-neutral. On the contrary, numerous scientists believe consciousness may be the result of some form of quantum computation dependent on substrate (see quantum mind).[37][38][39]

In light of uncertainty on whether to regard uploads as conscious, Sandberg proposes a cautious approach:[40]

Principle of assuming the most (PAM): Assume that any emulated system could have the same mental properties as the original system and treat it correspondingly.

It is argued that if a computational copy of one’s mind did exist, it would be impossible for one to verify this.[41] The argument for this stance is the following: for a computational mind to recognize an emulation of itself, it must be capable of deciding whether two Turing machines (namely, itself and the proposed emulation) are functionally equivalent. This task is uncomputable due to the undecidability of equivalence, thus there cannot exist a computational procedure in the mind that is capable of recognizing an emulation of itself.

The process of developing emulation technology raises ethical issues related to animal welfare and artificial consciousness.[40] The neuroscience required to develop brain emulation would require animal experimentation, first on invertebrates and then on small mammals before moving on to humans. Sometimes the animals would just need to be euthanized in order to extract, slice, and scan their brains, but sometimes behavioral and in vivo measures would be required, which might cause pain to living animals.[40]

In addition, the resulting animal emulations themselves might suffer, depending on one’s views about consciousness.[40] Bancroft argues for the plausibility of consciousness in brain simulations on the basis of the “fading qualia” thought experiment of David Chalmers. He then concludes:[42] If, as I argue above, a sufficiently detailed computational simulation of the brain is potentially operationally equivalent to an organic brain, it follows that we must consider extending protections against suffering to simulations.

It might help reduce emulation suffering to develop virtual equivalents of anaesthesia, as well as to omit processing related to pain and/or consciousness. However, some experiments might require a fully functioning and suffering animal emulation. Animals might also suffer by accident due to flaws and lack of insight into what parts of their brains are suffering.[40] Questions also arise regarding the moral status of partial brain emulations, as well as creating neuromorphic emulations that draw inspiration from biological brains but are built somewhat differently.[42]

Brain emulations could be erased by computer viruses or malware, without need to destroy the underlying hardware. This may make assassination easier than for physical humans. The attacker might take the computing power for its own use.[43]

Many questions arise regarding the legal personhood of emulations.[44] Would they be given the rights of biological humans? If a person makes an emulated copy of themselves and then dies, does the emulation inherit their property and official positions? Could the emulation ask to “pull the plug” when its biological version was terminally ill or in a coma? Would it help to treat emulations as adolescents for a few years so that the biological creator would maintain temporary control? Would criminal emulations receive the death penalty, or would they be given forced data modification as a form of “rehabilitation”? Could an upload have marriage and child-care rights?[44]

If simulated minds would come true and if they were assigned rights of their own, it may be difficult to ensure the protection of “digital human rights”. For example, social science researchers might be tempted to secretly expose simulated minds, or whole isolated societies of simulated minds, to controlled experiments in which many copies of the same minds are exposed (serially or simultaneously) to different test conditions.[citation needed]

Emulations could create a number of conditions that might increase risk of war, including inequality, changes of power dynamics, a possible technological arms race to build emulations first, first-strike advantages, strong loyalty and willingness to “die” among emulations, and triggers for racist, xenophobic, and religious prejudice.[43] If emulations run much faster than humans, there might not be enough time for human leaders to make wise decisions or negotiate. It is possible that humans would react violently against growing power of emulations, especially if they depress human wages. Emulations may not trust each other, and even well-intentioned defensive measures might be interpreted as offense.[43]

There are very few feasible technologies that humans have refrained from developing. The neuroscience and computer-hardware technologies that may make brain emulation possible are widely desired for other reasons, and logically their development will continue into the future. Assuming that emulation technology will arrive, a question becomes whether we should accelerate or slow its advance.[43]

Arguments for speeding up brain-emulation research:

Arguments for slowing down brain-emulation research:

Emulation research would also speed up neuroscience as a whole, which might accelerate medical advances, cognitive enhancement, lie detectors, and capability for psychological manipulation.[49]

Emulations might be easier to control than de novo AI because

As counterpoint to these considerations, Bostrom notes some downsides:

Ray Kurzweil, director of engineering at Google, claims to know and foresee that people will be able to “upload” their entire brains to computers and become “digitally immortal” by 2045. Kurzweil made this claim for many years, e.g. during his speech in 2013 at the Global Futures 2045 International Congress in New York, which claims to subscribe to a similar set of beliefs.[50] Mind uploading is also advocated by a number of researchers in neuroscience and artificial intelligence, such as Marvin Minsky[citation needed] while he was still alive. In 1993, Joe Strout created a small web site called the Mind Uploading Home Page, and began advocating the idea in cryonics circles and elsewhere on the net. That site has not been actively updated in recent years, but it has spawned other sites including MindUploading.org, run by Randal A. Koene, who also moderates a mailing list on the topic. These advocates see mind uploading as a medical procedure which could eventually save countless lives.

Many transhumanists look forward to the development and deployment of mind uploading technology, with transhumanists such as Nick Bostrom predicting that it will become possible within the 21st century due to technological trends such as Moore’s law.[4]

Michio Kaku, in collaboration with Science, hosted a documentary, Sci Fi Science: Physics of the Impossible, based on his book Physics of the Impossible. Episode four, titled “How to Teleport”, mentions that mind uploading via techniques such as quantum entanglement and whole brain emulation using an advanced MRI machine may enable people to be transported to vast distances at near light-speed.

The book Beyond Humanity: CyberEvolution and Future Minds by Gregory S. Paul & Earl D. Cox, is about the eventual (and, to the authors, almost inevitable) evolution of computers into sentient beings, but also deals with human mind transfer. Richard Doyle’s Wetwares: Experiments in PostVital Living deals extensively with uploading from the perspective of distributed embodiment, arguing for example that humans are currently part of the “artificial life phenotype”. Doyle’s vision reverses the polarity on uploading, with artificial life forms such as uploads actively seeking out biological embodiment as part of their reproductive strategy.

Kenneth D. Miller, a professor of neuroscience at Columbia and a co-director of the Center for Theoretical Neuroscience, raised doubts about the practicality of mind uploading. His major argument is that reconstructing neurons and their connections is in itself a formidable task, but it is far from being sufficient. Operation of the brain depends on the dynamics of electrical and biochemical signal exchange between neurons; therefore, capturing them in a single “frozen” state may prove insufficient. In addition, the nature of these signals may require modeling down to the molecular level and beyond. Therefore, while not rejecting the idea in principle, Miller believes that the complexity of the “absolute” duplication of an individual mind is insurmountable for the nearest hundreds of years.[51]

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Mind uploading – Wikipedia

Cryptocurrency News: Bitcoin ETFs, Andreessen Horowitz, and Contradictions in Crypto

Cryptocurrency News
This was a bloody week for cryptocurrencies. Everything was covered in red, from Ethereum (ETH) on down to the Basic Attention Token (BAT).

Some investors claim it was inevitable. Others say that price manipulation is to blame.

We think the answers are more complicated than either side has to offer, because our research reveals deep contradictions between the price of cryptos and the underlying development of blockchain projects.

For instance, a leading venture capital (VC) firm launched a $300.0-million crypto investment fund, yet liquidity continues to dry up in crypto markets.

Another example is the U.S. Securities and Exchange Commission’s.

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Cryptocurrency News: Looking Past the Bithumb Crypto Hack

Another Crypto Hack Derails Recovery
Since our last report, hackers broke into yet another cryptocurrency exchange. This time the target was Bithumb, a Korean exchange known for high-flying prices and ultra-active traders.

While the hackers made off with approximately $31.5 million in funds, the exchange is working with relevant authorities to return the stolen tokens to their respective owners. In the event that some is still missing, the exchange will cover the losses. (Source: “Bithumb Working With Other Crypto Exchanges to Recover Hacked Funds,”.

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Cryptocurrency News: This Week on Bitfinex, Tether, Coinbase, & More

Cryptocurrency News
On the whole, cryptocurrency prices are down from our previous report on cryptos, with the market slipping on news of an exchange being hacked and a report about Bitcoin manipulation.

However, there have been two bright spots: 1) an official from the U.S. Securities and Exchange Commission (SEC) said that Ethereum is not a security, and 2) Coinbase is expanding its selection of tokens.

Let’s start with the good news.
SEC Says ETH Is Not a Security
Investors have some reason to cheer this week. A high-ranking SEC official told attendees of the Yahoo! All Markets Summit: Crypto that Ethereum and Bitcoin are not.

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Ripple Price Forecast: XRP vs SWIFT, SEC Updates, and More

Ripple vs SWIFT: The War Begins
While most criticisms of XRP do nothing to curb my bullish Ripple price forecast, there is one obstacle that nags at my conscience. Its name is SWIFT.

The Society for Worldwide Interbank Financial Telecommunication (SWIFT) is the king of international payments.

It coordinates wire transfers across 11,000 banks in more than 200 countries and territories, meaning that in order for XRP prices to ascend to $10.00, Ripple needs to launch a successful coup. That is, and always has been, an unwritten part of Ripple’s story.

We’ve seen a lot of progress on that score. In the last three years, Ripple wooed more than 100 financial firms onto its.

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Cryptocurrency Price Forecast: Trust Is Growing, But Prices Are Falling

Trust Is Growing…
Before we get to this week’s cryptocurrency news, analysis, and our cryptocurrency price forecast, I want to share an experience from this past week. I was at home watching the NBA playoffs, trying to ignore the commercials, when a strange advertisement caught my eye.

It followed a tomato from its birth on the vine to its end on the dinner table (where it was served as a bolognese sauce), and a diamond from its dusty beginnings to when it sparkled atop an engagement ring.

The voiceover said: “This is a shipment passed 200 times, transparently tracked from port to port. This is the IBM blockchain.”

Let that sink in—IBM.

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Cryptocurrency Price Forecast: Trust Is Growing, But Prices Are Falling

Cryptocurrency News: Bitcoin ETF Rejection, AMD Microchip Sales, and Hedge Funds

Cryptocurrency News
Although cryptocurrency prices were heating up last week (Bitcoin, especially), regulators poured cold water on the rally by rejecting calls for a Bitcoin exchange-traded fund (ETF). This is the second time that the proposal fell on deaf ears. (More on that below.)

Crypto mining ran into similar trouble, as you can see from Advanced Micro Devices, Inc.‘s (NASDAQ:AMD) most recent quarterly earnings. However, it wasn’t all bad news. Investors should, for instance, be cheering the fact that hedge funds are ramping up their involvement in cryptocurrency markets.

Without further ado, here are those stories in greater detail.
ETF Rejection.

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Cryptocurrency News: What You Need to Know This Week

Cryptocurrency News
Cryptocurrencies traded sideways since our last report on cryptos. However, I noticed something interesting when playing around with Yahoo! Finance’s cryptocurrency screener: There are profitable pockets in this market.

Incidentally, Yahoo’s screener is far superior to the one on CoinMarketCap, so if you’re looking to compare digital assets, I highly recommend it.

But let’s get back to my epiphany.

In the last month, at one point or another, most crypto assets on our favorites list saw double-digit increases. It’s true that each upswing was followed by a hard crash, but investors who rode the trend would have made a.

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Cryptocurrency News: What You Need to Know This Week

Cryptocurrency News: XRP Validators, Malta, and Practical Tokens

Cryptocurrency News & Market Summary
Investors finally saw some light at the end of the tunnel last week, with cryptos soaring across the board. No one quite knows what kicked off the rally—as it could have been any of the stories we discuss below—but the net result was positive.

Of course, prices won’t stay on this rocket ride forever. I expect to see a resurgence of volatility in short order, because the market is moving as a single unit. Everything is rising in tandem.

This tells me that investors are simply “buying the dip” rather than identifying which cryptos have enough real-world value to outlive the crash.

So if you want to know when.

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Cryptocurrency News: Vitalik Buterin Doesn’t Care About Bitcoin ETFs

Cryptocurrency News
While headline numbers look devastating this week, investors might take some solace in knowing that cryptocurrencies found their bottom at roughly $189.8 billion in market cap—that was the low point. Since then, investors put more than $20.0 billion back into the market.

During the rout, Ethereum broke below $300.00 and XRP fell below $0.30, marking yearly lows for both tokens. The same was true down the list of the top 100 biggest cryptos.

Altcoins took the brunt of the hit. BTC Dominance, which reveals how tightly investment is concentrated in Bitcoin, rose from 42.62% to 53.27% in just one month, showing that investors either fled altcoins at higher.

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Cryptocurrency News: New Exchanges Could Boost Crypto Liquidity

Cryptocurrency News
Even though the cryptocurrency news was upbeat in recent days, the market tumbled after the U.S. Securities and Exchange Commission (SEC) rejected calls for a Bitcoin (BTC) exchange-traded fund (ETF).

That news came as a blow to investors, many of whom believe the ETF would open the cryptocurrency industry up to pension funds and other institutional investors. This would create a massive tailwind for cryptos, they say.

So it only follows that a rejection of the Bitcoin ETF should send cryptos tumbling, correct? Well, maybe you can follow that logic. To me, it seems like a dramatic overreaction.

I understand that legitimizing cryptos is important. But.

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Ethereum Price Forecast: Big Corporate Moves Could Bolster ETH Prices

Crypto Rally Slows Down
As I write this report, cryptocurrency prices are in the middle of a vicious tug of war between the bulls and the bears. And the bears are winning right now.

Most, if not all, of our favorite cryptocurrencies trended down over the last seven days, erasing the progress they made in earlier weeks.

Short-term volatility is completely overtaking the market, making it tough for existing holders of crypto assets.

But…

If you’re someone who is looking to enter the market, a sell-off is exactly the right time. How many times have I heard investors say, “If I had bought Bitcoin two years ago, I would have made [insert insane profits.

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