稀疏概率码是行为区分极限的基础

Balaji Sriram, Lillian Li, A. Cruz-Martín, Anirvan Ghosh
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引用次数: 10

摘要

作为感知基础的皮层编码必须使被试能够在与行为相关的时间尺度上感知世界。我们发现,在定向识别任务中,小鼠可以非常快速地整合视觉刺激(<100 ms)以达到平台表现。为了确定在这些时间尺度下表现的皮层活动特征,我们测量了小鼠视觉皮层在与该任务相关的时间尺度上的单单位反应。与长时间的高对比度刺激在单个神经元中引起可靠的活动相反,在感知阈值的刺激在初级视觉皮层中引起极其稀疏和不可靠的反应,因此单个神经元的活动不能可靠地报告方向。然而,跨神经元整合信息可以迅速提高性能。使用线性解码模型,我们估计整合超过50-100个神经元的信息足以解释行为表现。因此,在视觉感知的极限下,视觉系统集成了编码在不可靠的单个单元的概率发射中的信息,以产生可靠的行为。
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A Sparse Probabilistic Code Underlies the Limits of Behavioral Discrimination
Abstract The cortical code that underlies perception must enable subjects to perceive the world at time scales relevant for behavior. We find that mice can integrate visual stimuli very quickly (<100 ms) to reach plateau performance in an orientation discrimination task. To define features of cortical activity that underlie performance at these time scales, we measured single-unit responses in the mouse visual cortex at time scales relevant to this task. In contrast to high-contrast stimuli of longer duration, which elicit reliable activity in individual neurons, stimuli at the threshold of perception elicit extremely sparse and unreliable responses in the primary visual cortex such that the activity of individual neurons does not reliably report orientation. Integrating information across neurons, however, quickly improves performance. Using a linear decoding model, we estimate that integrating information over 50–100 neurons is sufficient to account for behavioral performance. Thus, at the limits of visual perception, the visual system integrates information encoded in the probabilistic firing of unreliable single units to generate reliable behavior.
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