Oct 18, 2011

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

Sheng li xue bao : [Acta physiologica Sinica]
Louis Tao, David Cai

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.

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Mentioned in this Paper

In Silico
Neurons
Neuronal
Entire Brodmann Areas 17 (Striate Cortex),18 (Parastriate Cortex) and 19 (Peristriate Cortex) of Occipital Lobe
Visual Stimulus
Brodmann Area 17
Area Striata Structure
Visual Cortex
Photic Stimulation
Neural Networks (Anatomic)

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