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首页> 外文期刊>The European Journal of Neuroscience >Spatio-temporal prediction and inference by V1 neurons.
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Spatio-temporal prediction and inference by V1 neurons.

机译：V1神经元的时空预测和推断。

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摘要

In normal vision, visual scenes are predictable, as they are both spatially and temporally redundant. Evidence suggests that the visual system may use the spatio-temporal regularities of the external world, available in the retinal signal, to extract information from the visual environment and better reconstruct current and future stimuli. We studied this by recording neuronal responses of primary visual cortex (area V1) in anaesthetized and paralysed macaques during the presentation of dynamic sequences of bars, in which spatio-temporal regularities and local information were independently manipulated. Most V1 neurons were significantly modulated by events prior to and distant from stimulation of their classical receptive fields (CRFs); many were more strongly tuned to prior and distant events than they were to CRFs bars; and several showed tuning to prior information without any CRF stimulation. Hence, V1 neurons do not simply analyse local contours, but impute local features to the visual world, on the basis of prior knowledge of a visual world in which useful information can be distributed widely in space and time.
机译：在正常视觉中，视觉场景是可预测的，因为它们在空间和时间上都是多余的。有证据表明，视觉系统可以利用视网膜信号中可用的外部世界的时空规律，从视觉环境中提取信息，并更好地重建当前和未来的刺激。我们通过记录在动态条形的呈现过程中麻醉和麻痹的猕猴中主要视觉皮层（区域V1）的神经元反应来研究这一点，其中动态时空规律和局部信息是独立操纵的。大多数V1神经元受到其经典感受野（CRF）刺激之前和远离的事件的显着调节。与对CRF条形图的调整相比，许多对之前和遥远事件的调整更为强烈;有几个显示在没有任何CRF刺激的情况下调优到先前的信息。因此，在视觉世界的先验知识的基础上，V1神经元不仅可以简单地分析局部轮廓，还可以将局部特征归因于视觉世界，在视觉世界中，有用信息可以在时空中广泛分布。

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