Efforts for brain reverse engineering are growing fast. Reserchers all over the world are collecting data on structures and dynamics of brain areas. How those systems behave could be reconstructed and analyzed through detailed simulations that could be also used to perform experiments in computo, where the model is an accessible preparation. Therefore, main modelling topics are: targeting level of detail, translating cell properties into model parameters, very large-scale modelling and exposing results for analysis... <\/p>\n
Now I'm working on database technologies for neuroscience and the database-driven simulator in CNRS at UNIC Lab. <\/p>\n
Developing methods to support specifications to reach an highly biological detail with compartmental approach. <\/p>\n
Successfully tested (both on Linux and Darwin) a randomly connected network of 1 million neurons and 1 billion synapses (see examples). <\/p>\n
Project has been accepted by INCF! Check it on <\/p>\n
First example of splitneuron library uploaded on page. Izhikevich polychrony as an excuse to show: network definition and initialization not hardcoded done by loading SQL file, operations on database tables (other features coming soon...). <\/p>\n
Completed design of database DB-STD version. First attempts of coding database extensions. See splitneuron. <\/p>\n
First draft of renewed splitneuron library uploaded on . This version retains only Izhikevich' spiking neuron model and lowers neuron cell detail to a compartmental level. <\/p>\n
Simulation Library <\/p>\n
Current Task: Database extension <\/p>\n
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Read the original: <\/p>\n
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