6533b830fe1ef96bd1297d1e

RESEARCH PRODUCT

V1 non-linear properties emerge from local-to-global non-linear ICA

Juan Manuel GutiérrezJesús Malo

subject

Masking (art)business.industryModels NeurologicalNeuroscience (miscellaneous)Independent component analysisNonlinear systemWaveletNonlinear DynamicsReceptive fieldEncoding (memory)Visual PerceptionHumansAutomatic gain controlNeural Networks ComputerArtificial intelligenceVisual FieldsbusinessAlgorithmPhotic StimulationEnergy (signal processing)Visual CortexMathematics

description

It has been argued that the aim of non-linearities in different visual and auditory mechanisms may be to remove the relations between the coefficients of the signal after global linear ICA-like stages. Specifically, in Schwartz and Simoncelli (2001), it was shown that masking effects are reproduced by fitting the parameters of a particular non-linearity in order to remove the dependencies between the energy of wavelet coefficients. In this work, we present a different result that supports the same efficient encoding hypothesis. However, this result is more general because, instead of assuming any specific functional form for the non-linearity, we show that by using an unconstrained approach, masking-like behavior emerges directly from natural images. This result is an additional indication that Barlow's efficient encoding hypothesis may explain not only the shape of receptive fields of V1 sensors but also their non-linear behavior.

https://doi.org/10.1080/09548980500439602