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A large-scale simulation of the piriform cortex by a cell automaton-based network model

A large-scale simulation of the piriform cortex by a cell automaton-based network model
A large-scale simulation of the piriform cortex by a cell automaton-based network model
An event-driven framework is used to construct physiologically motivated large-scale model of the piriform cortex containing in the order of 105 neuron-like computing units. This approach is based on a hierarchically defined highly abstract neuron model consisting of finite-state machines. It provides computational efficiency while incorporating components which have identifiable counterparts in the neurophysiological domain. The network model incorporates four neuron types, and glutamatergic excitatory and inhibitory synapses. The spatio-temporal patterns of cortical activity and the temporal and spectral characteristics of simulated electroencephalograms (EEGs) are studied. In line with previous experimental and compartmental work, 1) shock stimuli elicit EEG profiles with either isolated peaks or damped oscillations, the response type being determined by the intensity of the stimuli, and 2) temporally unpatterned input generates EEG oscillations supported by model-wide waves of excitation.
Cell automata, discrete simulation, EEG oscillations, piriform olfactory cortex, pulse-coded neuron model
0018-9294
921-935
Claverol, ET
b967cec4-9fae-4421-9ed9-484509278637
Brown, AD
5c19e523-65ec-499b-9e7c-91522017d7e0
Chad, JD
bc8d8f31-c8ef-46d1-ae69-bc980f584ce8
Claverol, ET
b967cec4-9fae-4421-9ed9-484509278637
Brown, AD
5c19e523-65ec-499b-9e7c-91522017d7e0
Chad, JD
bc8d8f31-c8ef-46d1-ae69-bc980f584ce8

Claverol, ET, Brown, AD and Chad, JD (2002) A large-scale simulation of the piriform cortex by a cell automaton-based network model. IEEE Transactions on Biomedical Engineering, 49 (9), 921-935. (doi:10.1109/TBME.2002.801986).

Record type: Article

Abstract

An event-driven framework is used to construct physiologically motivated large-scale model of the piriform cortex containing in the order of 105 neuron-like computing units. This approach is based on a hierarchically defined highly abstract neuron model consisting of finite-state machines. It provides computational efficiency while incorporating components which have identifiable counterparts in the neurophysiological domain. The network model incorporates four neuron types, and glutamatergic excitatory and inhibitory synapses. The spatio-temporal patterns of cortical activity and the temporal and spectral characteristics of simulated electroencephalograms (EEGs) are studied. In line with previous experimental and compartmental work, 1) shock stimuli elicit EEG profiles with either isolated peaks or damped oscillations, the response type being determined by the intensity of the stimuli, and 2) temporally unpatterned input generates EEG oscillations supported by model-wide waves of excitation.

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Published date: 2002
Keywords: Cell automata, discrete simulation, EEG oscillations, piriform olfactory cortex, pulse-coded neuron model
Organisations: EEE

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Local EPrints ID: 259203
URI: http://eprints.soton.ac.uk/id/eprint/259203
ISSN: 0018-9294
PURE UUID: 32d571c8-e50b-4c89-93f0-777ecb7e06b8

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Date deposited: 17 Mar 2004
Last modified: 14 Mar 2024 06:21

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Contributors

Author: ET Claverol
Author: AD Brown
Author: JD Chad

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