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

Citation
A. Renart et al., A model of the IT-PF network in object working memory which includes balanced persistent activity and tuned inhibition, NEUROCOMPUT, 38, 2001, pp. 1525-1531
Citations number
16
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
NEUROCOMPUTING
ISSN journal
09252312 → ACNP
Volume
38
Year of publication
2001
Pages
1525 - 1531
Database
ISI
SICI code
0925-2312(200106)38:<1525:AMOTIN>2.0.ZU;2-5
Abstract
The properties of cells in the prefrontal cortex and inferotemporal cortex recorded in monkeys performing delayed matching-to-sample tasks with interv ening visual stimuli and memory guided attention tasks are reproduced by me ans of a model in which two networks of leaky integrate-and-fire neurons re presenting the two cortical areas interact reciprocally. Each of the networ ks 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.