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

TAO Louis^*, CAI David

Center for Bioinformatics, National Laboratory of Protein Engineering and Plant Genetics Engineering, College of Life Sciences, Peking University, Beijing 100871, China； Institute of Natural Sciences &

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.

Key words: primary visual cortex; mathematical modeling; neuronal networks; spatial summation; orientation selectivity; nonlinear dynamics

Received: 　　Accepted:

Corresponding author: 陶乐天　　E-mail: taolt@cbi.pku.edu.cn

Citing This Article：

TAO Louis, CAI David. Computational modeling of the dynamics of simple and complex cells in primary visual cortex. Acta Physiol Sin 2011; 63 (5): 401-411 (in Chinese with English abstract).