A model of the IT-PF network in object working memory which includes balanced persistent activity and tuned inhibition

被引:26
|
作者
Renart, A
Moreno, R
de la Rocha, J
Parga, N
Rolls, ET
机构
[1] Univ Autonoma Madrid, Dept Fis Teor, E-28049 Madrid, Spain
[2] Univ Oxford, Dept Expt Psychol, Oxford OX1 3UD, England
关键词
working memory; visual search; balanced networks; persistent activity; competitive interactions;
D O I
10.1016/S0925-2312(01)00548-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The properties of cells in the prefrontal cortex and inferotemporal cortex recorded in monkeys performing delayed matching-to-sample tasks with intervening visual stimuli and memory guided attention tasks are reproduced by means of a model in which two networks of leaky integrate-and-fire neurons representing the two cortical areas interact reciprocally. Each of the networks is organized in micro-columns (M-Cs) which leads naturally to a dynamic balance between excitation and inhibition within each M-C so that realistic cortical spiking statistics (low firing rates with higher or equal to one CVs) are obtained. (C) 2001 Elsevier Science B.V. All rights reserved.
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页码:1525 / 1531
页数:7
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