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A Large-Scale Simulation of the Piriform Cortex by a Cell Automaton-Based Network Model

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), pp. 921-935. (doi:10.1109/TBME.2002.801986).

Record type: Article


An event-driven framework is used to construct physiologically motivated large-scale model of the piriform cortex containing in the order of 10^5 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 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. Index Terms—Cell automata, discrete simulation, EEG oscillations, piriform olfactory cortex, pulse-coded neuron model.

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Published date: 2002
Organisations: EEE


Local EPrints ID: 259203
ISSN: 0018-9294
PURE UUID: 32d571c8-e50b-4c89-93f0-777ecb7e06b8

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Date deposited: 17 Mar 2004
Last modified: 18 Jul 2017 09:25

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

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