初级视觉皮层“简单”与“复杂”神经元动力学的计算建模(英文)

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

本文回顾了我们在哺乳动物视觉皮层的建模工作。利用初级视觉皮层的大规模神经元网络模型,我们解释了初级视觉皮层里"简单"与"复杂"神经元现象的网络机制。所谓的"简单"细胞对视觉刺激的反应近似线性,而"复杂"细胞对视觉刺激是非线性的。我们的模型成功地再现了简单和复杂细胞分布的实验数据。

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.