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

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84226

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83805

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

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Zitation

Sinz, F., & Bethge, M. (2009). The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction. Advances in neural information processing systems 21: 22nd Annual Conference on Neural Information Processing Systems 2008, 1521-1528.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-C4A7-F
Zusammenfassung
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.