The Conjoint Effect of Divisive Normalization and Orientation Selectivity on 
Redundancy Reduction

Sinz, F; Bethge, M

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The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction

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Sinz, F
Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bethge, M
Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://papers.nips.cc/paper/3530-the-conjoint-effect-of-divisive-normalization-and-orientation-selectivity-on-redundancy-reduction.pdf
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引用

Sinz, F., & Bethge, M. (2009). The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction. In D., Koller, D., Schuurmans, Y., Bengio, & L., Bottou (Eds.), Advances in neural information processing systems 21 (pp. 1521-1528). Red Hook, NY, USA: Curran.

引用: https://hdl.handle.net/11858/00-001M-0000-0013-C4A7-F

要旨

Bandpass filtering, orientation selectivity, and contrast gain control are prominent features of sensory coding at the level of V1 simple cells. While the effect of bandpass filtering and orientation selectivity can be assessed within a linear model, contrast gain control is an inherently nonlinear computation. Here we employ the
class of L_p elliptically contoured distributions to investigate the extent to which the two features---orientation selectivity and contrast gain control---are suited to model the statistics of natural images. Within this framework we find that contrast gain control can
play a significant role for the removal of redundancies in natural images. Orientation selectivity, in contrast, has only a very limited potential for redundancy reduction.