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Parsimony, exhaustivity and balanced detection in neocortex

By Alberto Romagnoni, Jérôme Ribot, Daniel Bennequin and Jonathan Touboul

Abstract

International audienceThe layout of sensory brain areas is thought to subtend perception. The principles shapingthese architectures and their role in information processing are still poorly understood.Weinvestigate mathematically and computationally the representation of orientation and spatialfrequency in cat primary visual cortex. We prove that two natural principles, local exhaustivityand parsimony of representation, would constrain the orientation and spatial frequencymaps to display a very specific pinwheel-dipole singularity. This is particularly interestingsince recent experimental evidences show a dipolar structures of the spatial frequency mapco-localized with pinwheels in cat. These structures have important properties on informationprocessing capabilities. In particular, we show using a computational model of visualinformation processing that this architecture allows a trade-off in the local detection of orientationand spatial frequency, but this property occurs for spatial frequency selectivitysharper than reported in the literature. We validated this sharpening on high-resolution opticalimaging experimental data. These results shed new light on the principles at play in theemergence of functional architecture of cortical maps, as well as their potential role in processinginformation

Topics: [ SDV ] Life Sciences [q-bio]
Publisher: Public Library of Science
Year: 2016
DOI identifier: 10.1371/journal.pcbi
OAI identifier: oai:HAL:hal-01412347v1
Provided by: Hal-Diderot
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