Velocity computation in the primate visual system.
Velocity computation in the primate visual system.
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DOI：
10.1038/nrn2472
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发表时间：
2008-09
期刊：
影响因子：
--
通讯作者：
Goyal MS
中科院分区：
文献类型：
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作者：
Bradley DC;Goyal MS
计算神经科学结合了理论和实验，揭示了神经计算的原理和机制。这种方法已经非常富有成效的正在进行的努力，以了解速度计算的灵长类动物视觉系统。本文介绍了时空能量模型在局部速度检测方面的成功。它说明了为什么局部速度的测量结果往往与物体整体的速度不同。中颞区的某些细胞被认为通过结合局部速度估计来计算整体模式速度来解决这个问题。该评论讨论了不同的模型如何发生，以及测试这些模型的实验。虽然没有模型尚未牢固地建立，证据表明，计算模式速度从本地速度估计涉及简单的操作在时空频域。
Computational neuroscience combines theory and experiment to shed light on the principles and mechanisms of neural computation. This approach has been highly fruitful in the ongoing effort to understand velocity computation by the primate visual system. This Review describes the success of spatiotemporal-energy models in representing local-velocity detection. It shows why local-velocity measurements tend to differ from the velocity of the object as a whole. Certain cells in the middle temporal area are thought to solve this problem by combining local-velocity estimates to compute the overall pattern velocity. The Review discusses different models for how this might occur and experiments that test these models. Although no model is yet firmly established, evidence suggests that computing pattern velocity from local-velocity estimates involves simple operations in the spatiotemporal frequency domain.