Cortical extraction of informative multipoint correlations
Visual processing of informative multipoint correlations arises primarily in V2
Yunguo Yu, Anita M. Schmid, and Jonathan D. Victor
eLife 2015;10.7554/eLife.06604 (2015)
Abstract
Using the visual system as a model, we recently showed that the efficient coding
principle accounted for the allocation of computational resources in central sensory processing: when sampling an image is the main limitation, resources are devoted to compute the statistical features that are the most variable, and therefore the most informative
(eLife2014;3:e03722. DOI: 10.7554/eLife.03722 Hermundstad et al., 2014).
Building on these results, we use single-unit recordings in the macaque monkey to determine where these computations -- sensitivity to specific multipoint correlations -- occur. We find that these computations take place in visual area V2, primarily in its supragranular layers. The demonstration that V2 neurons are sensitive to the multipoint correlations that are informative about natural images provides a common computational underpinning for
diverse but well-recognized aspects of neural processing in V2, including its sensitivity to corners,junctions, illusory contours, figure/ground, and "naturalness."
Download courtesy of eLife Sciences
Figure 2 Supplement courtesy of eLife Sciences: V2 vs V1 differences in sensitivity to high-order control correlations are not a result of differences in receptive field size
Related paper: modeling discrimination of gray-level textures with spatial correlations
Related paper: topological data analysis of texture responses
Related paper: recurrent networks for extraction of local form and motion
Related paper: perceptual space of local image statistics
Related paper: informativeness of statistics in natural images and visual salience (binary images)
Related paper: informativeness of statistics in natural images and visual salience (grayscale images)
Related paper: generation of textures with specific low- and high-order statistics
Related paper: simple mixtures of low- and high-order statistics
Publications related to texture processing
Publications related to receptive field analysis
Return to publications list