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猕猴MT神经元中模式运动敏感性的时空限制

Temporal and spatial limits of pattern motion sensitivity in macaque MT neurons.

作者信息

Kumbhani Romesh D, El-Shamayleh Yasmine, Movshon J Anthony

机构信息

Center for Neural Science, New York University, New York, New York.

Center for Neural Science, New York University, New York, New York

出版信息

J Neurophysiol. 2015 Apr 1;113(7):1977-88. doi: 10.1152/jn.00597.2014. Epub 2014 Dec 24.

Abstract

Many neurons in visual cortical area MT signal the direction of motion of complex visual patterns, such as plaids composed of two superimposed drifting gratings. To compute the direction of pattern motion, MT neurons combine component motion signals over time and space. To determine the spatial and temporal limits of signal integration, we measured the responses of single MT neurons to a novel set of "pseudoplaid" stimuli in which the component gratings were alternated in time or space. As the temporal or spatial separation of the component gratings increased, neuronal selectivity for the direction of pattern motion decreased. Using descriptive models of signal integration, we inferred the temporal and spatial structure of the mechanisms that compute pattern direction selectivity. The median time constant for integration was roughly 10 ms, a timescale characteristic of integration by single cortical pyramidal neurons. The median spatial integration field was roughly one-third of the MT receptive field diameter, suggesting that the spatial limits are set by stages of processing in earlier areas of visual cortex where receptive fields are smaller than in MT. Interestingly, pattern direction-selective neurons had shorter temporal integration times than component direction-selective neurons but similar spatial integration windows. We conclude that pattern motion can only be signaled by MT neurons when the component motion signals co-occur within relatively narrow spatial and temporal limits. We interpret these results in the framework of recent hierarchical models of MT.

摘要

视觉皮层MT区的许多神经元会发出复杂视觉模式(如由两个叠加的漂移光栅组成的方格图案)的运动方向信号。为了计算图案的运动方向,MT神经元会在时间和空间上整合成分运动信号。为了确定信号整合的时空限制,我们测量了单个MT神经元对一组新的“伪方格”刺激的反应,其中成分光栅在时间或空间上交替出现。随着成分光栅在时间或空间上的分离增加,神经元对图案运动方向的选择性降低。使用信号整合的描述性模型,我们推断出计算图案方向选择性机制的时空结构。整合的中值时间常数约为10毫秒,这是单个皮层锥体神经元进行整合的时间尺度特征。中值空间整合场约为MT感受野直径的三分之一,这表明空间限制是由视觉皮层早期区域的处理阶段设定的,这些区域的感受野比MT区的小。有趣的是,图案方向选择性神经元的时间整合时间比成分方向选择性神经元短,但空间整合窗口相似。我们得出结论,只有当成分运动信号在相对狭窄的时空限制内同时出现时,MT神经元才能发出图案运动的信号。我们在最近的MT层次模型框架内解释了这些结果。

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