Visual cortex performs a sort of non-linear ICA

Authors:
Jesús Malo;Valero Laparra
Affiliations:
Image Processing Laboratory, Universitat de València, Burjassot, València, (Spain);Image Processing Laboratory, Universitat de València, Burjassot, València, (Spain)
Venue:
NOLISP'09 Proceedings of the 2009 international conference on Advances in Nonlinear Speech Processing
Year:
2009

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Abstract

Here, the standard V1 cortex model optimized to reproduce image distortion psychophysics is shown to have nice statistical properties, e.g. approximate factorization of the PDF of natural images. These results confirm the efficient encoding hypothesis that aims to explain the organization of biological sensors by information theory arguments.