Neural mechanisms for processing binocular information I. Simple cells

Neural mechanisms for processing binocular information I. Simple cells
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DOI:
10.1152/jn.1999.82.2.891
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发表时间:
1999-08-01
影响因子:
2.5
通讯作者:
Freeman, RD
Freeman, RD
中科院分区:
医学3区
文献类型:
--
作者:
Anzai, A;Ohzawa, I;Freeman, RD

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视觉系统整合来自左眼和右眼的信息,并构建一个被感知为单一和三维的视觉世界。为了理解这一过程背后的神经机制,重要的是要了解来自两只眼睛的信号如何在单个神经元的水平上相互作用。使用一个复杂的感受野(RF)映射技术,采用二进制m序列,我们已经确定的规则,在猫的纹状皮层中的简单细胞表现出的双眼相互作用的关系,他们的单眼RF的结构。我们发现,大多数简单细胞的双眼相互作用RF被很好地描述为左右眼RF的产物。因此,双眼的相互作用不仅取决于双眼视差,而且还取决于单眼刺激的位置或相位。的双目互动RF是一致的预测由一个模型的线性双目过滤器,然后由一个静态的非线性。的静态非线性示出具有半幂函数的形状与平均指数类似于2。虽然信号的初始双目会聚是线性的,但是静态非线性使得在简单细胞的输出处双目相互作用是乘法的。这种倍增的双眼相互作用是计算双眼间互相关的关键成分,这是一种解决立体对应问题的算法。因此,简单的单元可以执行解决该问题所需的初始计算。
The visual system integrates information from the left and right eyes and constructs a visual world that is perceived as single and three dimensional. To understand neural mechanisms underlying this process, it is important to learn about how signals from the two eyes interact at the level of single neurons. Using a sophisticated receptive field (RF) mapping technique that employs binary m-sequences, we have determined the rules of binocular interactions exhibited by simple cells in the cat's striate cortex in relation to the structure of their monocular RFs. We find that binocular interaction RFs of most simple cells are well described as the product of left and right eye RFs. Therefore the binocular interactions depend not only on binocular disparity but also on monocular stimulus position or phase. The binocular interaction RF is consistent with that predicted by a model of a linear binocular filter followed by a static nonlinearity. The static nonlinearity is shown to have a shape of a half-power function with an average exponent of similar to 2. Although the initial binocular convergence of signals is linear, the static nonlinearity makes binocular interaction multiplicative at the output of simple cells. This multiplicative binocular interaction is a key ingredient for the computation of interocular cross-correlation, an algorithm for solving the stereo correspondence problem. Therefore simple cells may perform initial computations necessary to solve this problem.