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).


[img] PDF - Version of Record
Restricted to Registered users only

Download (345Kb) | Request a copy


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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/S0925-2312(01)00629-4
ISSNs: 0925-2312 (print)
Related URLs:
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
ePrint ID: 24089
Accepted Date and Publication Date:
Date Deposited: 22 Mar 2006
Last Modified: 31 Mar 2016 11:45
URI: http://eprints.soton.ac.uk/id/eprint/24089

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics