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Discrete simulation of large aggregates of neurons

Discrete simulation of large aggregates of neurons
Discrete simulation of large aggregates of neurons
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 efficient 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.
neuronal simulation, siscrete simulation, pulse coded neuron models, cell automata
0925-2312
277-297
Claverol, E.T.
e3eb160d-3309-4c6b-9fb6-6a0f9fe05ac2
Brown, A.D.
5c19e523-65ec-499b-9e7c-91522017d7e0
Chad, J.E.
d220e55e-3c13-4d1d-ae9a-1cfae8ccfbe1
Claverol, E.T.
e3eb160d-3309-4c6b-9fb6-6a0f9fe05ac2
Brown, A.D.
5c19e523-65ec-499b-9e7c-91522017d7e0
Chad, J.E.
d220e55e-3c13-4d1d-ae9a-1cfae8ccfbe1

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).

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 efficient 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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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: 16 Mar 2024 02:35

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Contributors

Author: E.T. Claverol
Author: A.D. Brown
Author: J.E. Chad ORCID iD

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