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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), pp. 277-297. (doi:10.1016/S0925-2312(01)00629-4).

Record type: Article

Abstract

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. All rights reserved.

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More information

Published date: 2002
Keywords: neuronal simulation, siscrete simulation, pulse coded neuron models, cell automata

Identifiers

Local EPrints ID: 24089
URI: http://eprints.soton.ac.uk/id/eprint/24089
ISSN: 0925-2312
PURE UUID: 33fec431-43e1-4dce-922c-78f91542fb4d
ORCID for J.E. Chad: ORCID iD orcid.org/0000-0001-6442-4281

Catalogue record

Date deposited: 22 Mar 2006
Last modified: 17 Jul 2017 16:15

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