Center for Visual Science, University of Rochester, Rochester, NY 14627, USA; Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627, USA.
Department of Neurobiology, Weizmann Institute, Rehovot, Israel.
Trends Cogn Sci. 2018 Oct;22(10):883-895. doi: 10.1016/j.tics.2018.07.009.
Establishing a representation of space is a major goal of sensory systems. Spatial information, however, is not always explicit in the incoming sensory signals. In most modalities it needs to be actively extracted from cues embedded in the temporal flow of receptor activation. Vision, on the other hand, starts with a sophisticated optical imaging system that explicitly preserves spatial information on the retina. This may lead to the assumption that vision is predominantly a spatial process: all that is needed is to transmit the retinal image to the cortex, like uploading a digital photograph, to establish a spatial map of the world. However, this deceptively simple analogy is inconsistent with theoretical models and experiments that study visual processing in the context of normal motor behavior. We argue here that, as with other senses, vision relies heavily on temporal strategies and temporal neural codes to extract and represent spatial information.
建立空间表示是感觉系统的主要目标之一。然而,空间信息在传入的感觉信号中并不总是明确的。在大多数模态中,它需要从受体激活的时间流中嵌入的线索中主动提取。另一方面,视觉始于一个复杂的光学成像系统,该系统明确地在视网膜上保留了空间信息。这可能导致这样一种假设,即视觉主要是一个空间过程:只需要将视网膜图像传输到皮层,就像上传数字照片一样,就可以建立世界的空间地图。然而,这种看似简单的类比与研究正常运动行为背景下视觉处理的理论模型和实验不一致。我们在这里认为,与其他感觉一样,视觉严重依赖于时间策略和时间神经代码来提取和表示空间信息。