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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

Authors :
Claverol, Enric T.
Brown, Andrew David
Chad, John Edward
Source :
IEEE Transactions on Biomedical Engineering. Sept, 2002, Vol. 49 Issue 9, p921, 15 p.
Publication Year :
2002

Abstract

An event-driven framework is used to construct a physiologically motivated large-scale model of the piriform cortex containing in the order of [10.sup.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 GAB[A.sub.A] and GAB[A.sub.B] 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.

Details

ISSN :
00189294
Volume :
49
Issue :
9
Database :
Gale General OneFile
Journal :
IEEE Transactions on Biomedical Engineering
Publication Type :
Academic Journal
Accession number :
edsgcl.91399505