A selection model for motion processing in area MT of primates
A selection model for motion processing in area MT of primates
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DOI：
10.1523/jneurosci.15-02-01195.1995
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发表时间：
1995-02
期刊：
影响因子：
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通讯作者：
SJ Nowlan;T. Sejnowski
中科院分区：
文献类型：
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作者：
SJ Nowlan;T. Sejnowski
MT区运动处理的计算模型是基于所观察到的皮层神经元的响应特性，是一致的部分闭塞和透明的移动刺激的视觉感知。与假设空间连续性并且无法计算这些视觉刺激的正确速度的运动处理模型相反，我们的模型将图像分割成不相交的补丁，这些补丁代表以共同速度移动的不同对象。模型中的一个关键要素是选择速度估计最可靠的视野区域。运动模型中执行选择的处理单元具有与在区域MT中观察到的那些类似的非经典感受野（Allman等人，1985年）。该模型对相干移动的随机点和透明格子光栅的心理物理反应与在灵长类动物中观察到的相似。
A computational model for motion processing in area MT is presented that is based on the observed response properties of cortical neurons and is consistent with the visual perception of partially occluded and transparent moving stimuli. In contrast to models of motion processing that assume spatial continuity and fail to compute the correct velocity for these visual stimuli, our model produces a distributed segmentation of the image into disjoint patches that represent distinct objects moving with common velocities. A key element in the model is the selection of regions of the visual field where the velocity estimates are most reliable. The processing units in the motion model that perform the selection have nonclassical receptive fields similar to those observed in area MT (Allman et al., 1985). The psychophysical responses of the model to coherently moving random dots and transparent plaid gratings are similar to those observed in primates.