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Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images

Figure 3

Radial distribution and redundancy reduction achieved by the dynamically adapting model.

A: Histogram of for natural image patches sampled with simulated eye movements: The distribution predicted by the dynamically adapting model closely matches the empirical distribution. B: Same as in Fig. 1B but for simulated eye movement data. The dynamically adapting achieves an almost optimal redundancy reduction performance. C: Each colored line shows the distribution of a random variable from 3A transformed with a Naka-Rushton function. Different colors correspond to different values of . The dashed curve corresponds to a truncated -distribution. A mixture of the colored distributions cannot resemble the truncated -distribution since there will either be peaks on the left or the right of the dashed distribution that cannot be canceled by other mixture components.

doi: https://doi.org/10.1371/journal.pcbi.1002889.g003