An egalitarian network model for the emergence of simple and complex cells in visual cortex

Document Type

Article

Publication Date

1-1-2004

Abstract

We explain how simple and complex cells arise in a large-scale neuronal network model of the primary visual cortex of the macaque. Our model consists of ≈4,000 integrate-and-fire, conductance-based point neurons, representing the cells in a small, 1-mm2 patch of an input layer of the primary visual cortex. In the model the local connections are isotropic and nonspecific, and convergent input from the lateral geniculate nucleus confers cortical cells with orientation and spatial phase preference. The balance between lateral connections and lateral geniculate nucleus drive determines whether individual neurons in this recurrent circuit are simple or complex. The model reproduces qualitatively the experimentally observed distributions of both extracellular and intracellular measures of simple and complex response.

Identifier

0347088971 (Scopus)

Publication Title

Proceedings of the National Academy of Sciences of the United States of America

External Full Text Location

https://doi.org/10.1073/pnas.2036460100

ISSN

00278424

PubMed ID

14695891

First Page

366

Last Page

371

Issue

1

Volume

101

Grant

R01EY001472

Fund Ref

National Eye Institute

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