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.
authors: College of Life Sciences, Peking University, Beijing, China. taolt@cbi.pku.edu.cn
authors: Louis
authors: L
authors: Tao
authors: David
authors: D
authors: Cai
mesh_terms: D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D010775:Photic Stimulation; D014793:Visual Cortex / Q000166:cytology / Q000502:physiology*