Crevecoeur Frédéric, Kording Konrad P
Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Institute of Neuroscience, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Elife. 2017 May 2;6:e25073. doi: 10.7554/eLife.25073.
Humans perform saccadic eye movements two to three times per second. When doing so, the nervous system strongly suppresses sensory feedback for extended periods of time in comparison to movement time. Why does the brain discard so much visual information? Here we suggest that perceptual suppression may arise from efficient sensorimotor computations, assuming that perception and control are fundamentally linked. More precisely, we show theoretically that a Bayesian estimator should reduce the weight of sensory information around the time of saccades, as a result of signal dependent noise and of sensorimotor delays. Such reduction parallels the behavioral suppression occurring prior to and during saccades, and the reduction in neural responses to visual stimuli observed across the visual hierarchy. We suggest that saccadic suppression originates from efficient sensorimotor processing, indicating that the brain shares neural resources for perception and control.
人类每秒会进行两到三次眼球的快速跳动。在进行快速跳动时，与运动时间相比，神经系统会在较长时间内强烈抑制感觉反馈。为什么大脑要舍弃这么多视觉信息呢？在此我们提出，假设感知与控制在根本上是相互关联的，那么感知抑制可能源于高效的感觉运动计算。更确切地说，我们从理论上表明，由于信号相关噪声和感觉运动延迟，贝叶斯估计器在扫视期间应降低感觉信息的权重。这种降低与扫视之前和期间发生的行为抑制以及在整个视觉层级中观察到的对视觉刺激的神经反应的降低相似。我们认为扫视抑制源于高效的感觉运动处理，这表明大脑在感知和控制方面共享神经资源。
