Computational modeling of the dynamics of simple and complex cells in primary visual cortex.

Louis Tao, David Cai

Research output: Contribution to journalArticle

Abstract

We review our work on computational modeling of the mammalian visual cortex. In particular, we explain the network mechanism of how simple and complex cells arise in a large scale neuronal network model of primary visual cortex. The simple cells are so-called because they respond approximately linearly to visual stimulus, whereas the complex cells exhibit nonlinear response to visual stimulation. Our model reproduces qualitatively the experimentally observed distributions of simple and complex cells.

Original languageEnglish (US)
Pages (from-to)401-411
Number of pages11
JournalSheng li xue bao : [Acta physiologica Sinica]
Volume63
Issue number5
StatePublished - Oct 25 2011

Fingerprint

Visual Cortex
Photic Stimulation

ASJC Scopus subject areas

  • Physiology

Cite this

Computational modeling of the dynamics of simple and complex cells in primary visual cortex. / Tao, Louis; Cai, David.

In: Sheng li xue bao : [Acta physiologica Sinica], Vol. 63, No. 5, 25.10.2011, p. 401-411.

Research output: Contribution to journalArticle

@article{1aa9450f6fe84208984522956eb33f78,
title = "Computational modeling of the dynamics of simple and complex cells in primary visual cortex.",
abstract = "We review our work on computational modeling of the mammalian visual cortex. In particular, we explain the network mechanism of how simple and complex cells arise in a large scale neuronal network model of primary visual cortex. The simple cells are so-called because they respond approximately linearly to visual stimulus, whereas the complex cells exhibit nonlinear response to visual stimulation. Our model reproduces qualitatively the experimentally observed distributions of simple and complex cells.",
author = "Louis Tao and David Cai",
year = "2011",
month = "10",
day = "25",
language = "English (US)",
volume = "63",
pages = "401--411",
journal = "Acta Physiologica Sinica",
issn = "0371-0874",
publisher = "Kexue Chubaneshe/Science Press",
number = "5",

}

TY - JOUR

T1 - Computational modeling of the dynamics of simple and complex cells in primary visual cortex.

AU - Tao, Louis

AU - Cai, David

PY - 2011/10/25

Y1 - 2011/10/25

N2 - We review our work on computational modeling of the mammalian visual cortex. In particular, we explain the network mechanism of how simple and complex cells arise in a large scale neuronal network model of primary visual cortex. The simple cells are so-called because they respond approximately linearly to visual stimulus, whereas the complex cells exhibit nonlinear response to visual stimulation. Our model reproduces qualitatively the experimentally observed distributions of simple and complex cells.

AB - We review our work on computational modeling of the mammalian visual cortex. In particular, we explain the network mechanism of how simple and complex cells arise in a large scale neuronal network model of primary visual cortex. The simple cells are so-called because they respond approximately linearly to visual stimulus, whereas the complex cells exhibit nonlinear response to visual stimulation. Our model reproduces qualitatively the experimentally observed distributions of simple and complex cells.

UR - http://www.scopus.com/inward/record.url?scp=84874177475&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874177475&partnerID=8YFLogxK

M3 - Article

C2 - 22002231

AN - SCOPUS:84874177475

VL - 63

SP - 401

EP - 411

JO - Acta Physiologica Sinica

JF - Acta Physiologica Sinica

SN - 0371-0874

IS - 5

ER -