The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Abstract
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.
Cite
Text
Sinz and Bethge. "The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction." Neural Information Processing Systems, 2008.Markdown
[Sinz and Bethge. "The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction." Neural Information Processing Systems, 2008.](https://mlanthology.org/neurips/2008/sinz2008neurips-conjoint/)BibTeX
@inproceedings{sinz2008neurips-conjoint,
title = {{The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction}},
author = {Sinz, Fabian H. and Bethge, Matthias},
booktitle = {Neural Information Processing Systems},
year = {2008},
pages = {1521-1528},
url = {https://mlanthology.org/neurips/2008/sinz2008neurips-conjoint/}
}