van Hateren J H
Department of Biophysics, University of Groningen, The Netherlands.
Biol Cybern. 1992;68(1):23-9. doi: 10.1007/BF00203134.
A theory is developed on the assumption that early sensory processing aims at maximizing the information rate in the channels connecting the sensory system to more central parts of the brain, where it is assumed that these channels are noisy and have a limited dynamic range. Given a stimulus power spectrum, the theory enables the computation of filters accomplishing this maximizing of information. Resulting filters are band-pass or high-pass at high signal-to-noise ratios, and low-pass at low signal-to-noise ratios. In spatial vision this corresponds to lateral inhibition and pooling, respectively. The filters comply with Weber's law over a considerable range of signal-to-noise ratios.
早期感觉处理的目标是使连接感觉系统与大脑更中枢部分的通道中的信息率最大化，在此假设这些通道存在噪声且动态范围有限。给定一个刺激功率谱，该理论能够计算出实现这种信息最大化的滤波器。在高信噪比时，所得滤波器为带通或高通，在低信噪比时为低通。在空间视觉中，这分别对应于侧向抑制和合并。这些滤波器在相当大的信噪比范围内符合韦伯定律。
