Curvature Sensitive Cells in the Modular Structures of The Visual Cortex

TL;DR

This paper presents a geometric model of curvature-sensitive cells in the visual cortex, linking their structure to the SIM(2) symmetry group and an adapted uncertainty principle, advancing understanding of cortical organization.

Contribution

It introduces a novel geometric framework modeling curvature-sensitive cells using Engel structures and identifies SIM(2) as their natural symmetry group.

Findings

Identifies SIM(2) as the symmetry group for curvature-sensitive cells.

Models receptive profiles as minima of a SIM(2)-adapted uncertainty principle.

Provides a geometric interpretation of cortical modular organization.

Abstract

We propose a model of the functional architecture of curvature-sensitive cells in the primary visual cortex. The model accounts for the modular and hierarchical organization of the cortex, the horizontal connectivity, and the shape of receptive profiles of these cells as Gabor-type filters. We construct a canonical affine subbundle of the cotangent bundle of the manifold of oriented contact elements of the retina as a geometric model for these cells, and show that this subbundle carries an Engel structure related to that of the Cartan prolongation. On an open submanifold of the Cartan prolongation, we identify generators of the Engel distribution whose iterated Lie brackets span the Lie algebra of SIM(2). The identification of sim(2) as the Lie algebra of these generators determines SIM(2) as the natural symmetry group for curvature-sensitive cells. Finally, we characterize the receptive profiles of curvature-sensitive cells as minima of a SIM(2)-adapted uncertainty principle applied to the generators of the Engel structure.