Discrete simulation of large aggregates of neurons
Claverol, E.T., Brown, A.D. and Chad, J.E. (2002) Discrete simulation of large aggregates of neurons. Neurocomputing, 47, (1-4), 277-297. (doi:10.1016/S0925-2312(01)00629-4).
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Realistic simulation of aggregates of neurons often utilises compartmental models which limit the scope of the simulations with single processor architectures to small or medium size networks (typically hundreds of neurons). An alternative approach, based on cell automata models, allows e1cient simulation of nervous tissue by modelling neurons as 2nite state automata. In this paper, data structures and algorithms appropriate for efficient simulation of message-based event-driven models of neurons in single processor architectures are presented. With these techniques, the simulation of large networks (of the order of 105 neurons with 102 synapses per neuron) becomes feasible.
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|Digital Object Identifier (DOI):||doi:10.1016/S0925-2312(01)00629-4|
|Keywords:||neuronal simulation, siscrete simulation, pulse coded neuron models, cell automata|
|Subjects:||R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Q Science > QA Mathematics
Q Science > QH Natural history > QH301 Biology
|Divisions :||University Structure - Pre August 2011 > School of Electronics and Computer Science
University Structure - Pre August 2011 > School of Biological Sciences
|Accepted Date and Publication Date:||
|Date Deposited:||22 Mar 2006|
|Last Modified:||31 Mar 2016 11:45|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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