1. From: Specificity and timescales of cortical adaptation as inferences about natural movie statistics
Journal of Vision. 2016;16(13). doi: /
Figure Legend:
Dependencies in natural movies and a generalized divisive normalization model for reducing dependencies. (A) Past (left columns) and present (right column) frames of natural movies (top two rows) versus a movie composed of random still natural images (bottom row). (B) Filled symbols: Correlation coefficient of the responses of a standard complex cell model to the movies in (A), namely, the square root of sum of squared responses of two quadrature pair–oriented filters. The abscissa is the temporal distance used for the calculation of correlation between the “present” and “past” frames. The error bars are ±1 SD across different filter orientations. Dashed line and shaded area: Average correlation coefficient ±1 SD over all correlations for all distances, because the order of the random frames is artificial, for the movie composed of random still images. (C) Flexible divisive normalization. The model divides the present by the past if the past and present share dependencies (left case) and does not divide the present by the past when the past and present are independent (right case). Lion images adapted from “Be Bold as a Lion” by Kids on the Move, available under the Creative Commons Attribution license.
Date of download: 10/8/2017
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