A neuronal network model of macaque primary visual cortex (V1):: Orientation selectivity and dynamics in the input layer 4Cα
A neuronal network model of macaque primary visual cortex (V1):: Orientation selectivity and dynamics in the input layer 4Cα
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DOI：
10.1073/pnas.110135097
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发表时间：
2000-07-05
影响因子：
11.1
通讯作者：
Wielaard, DJ
中科院分区：
文献类型：
--
作者：
McLaughlin, D;Shapley, R;Wielaard, DJ
在本文中，我们提供了一个解释如何选择性的方向可以产生的模型与电路的基础上解剖V1皮层。它是猕猴初级视皮层（V1区）4C α层的网络模型。该模型由大量的基于积分和激发电导的点神经元组成，既有兴奋性又有抑制性，它们代表了外侧区域中包含四个方向超柱的4C α-1 mm（2）的小块中的动力学。该模型的生理特性和耦合结构来自猕猴4C α层的实验数据。来自外侧膝状体核的许多神经元的会聚前馈输入以方向偏好奇异性位于图案中心的风车图案建立方向偏好。反复出现的皮层连接会使网络的选择性变得更强。局部横向连接的模式被认为是各向同性的，单突触兴奋的空间范围超过抑制。该模型（i）获得锐化，多样性的选择性，和动态的方向选择性，每一个定性与实验一致;和（ii）预测更多的锐化附近的方向偏好奇点。
In this paper, we offer an explanation for how selectivity for orientation could be produced by a model with circuitry that is based on the anatomy of V1 cortex. It is a network model of layer 4C alpha in macaque primary visual cortex (area V1). The model consists of a large number of integrate-and-fire conductance-based point neurons, both excitatory and inhibitory, which represent dynamics in a small patch of 4C alpha-1 mm(2) in lateral area-which contains four orientation hypercolumns, The physiological properties and coupling architectures of the model are derived from experimental data for layer 4C alpha of macaque. Convergent feed-forward input from many neurons of the lateral geniculate nucleus sets up an orientation preference, in a pinwheel pattern with an orientation preference singularity in the center of the pattern. Recurrent cortical connections cause the network to sharpen its selectivity. The pattern of local lateral connections is taken as isotropic, with the spatial range of monosynaptic excitation exceeding that of inhibition. The model (i) obtains sharpening, diversity in selectivity, and dynamics of orientation selectivity, each in qualitative agreement with experiment; and (ii) predicts more sharpening near orientation preference singularities.