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Some theoretical results for a class of neural mass equations. arXiv:1005.0510

Preprint, arXiv:1005.0510 [math.DS] (2010).
Summary: We study the neural field equations introduced by Chossat and Faugeras in their article to model the representation and the processing of image edges and textures in the hypercolumns of the cortical area V1. The key entity, the structure tensor, intrinsically lives in a non-Euclidean, in effect hyperbolic, space. Its spatio-temporal behaviour is governed by nonlinear integro-differential equations defined on the Poincaré disc model of the two-dimensional hyperbolic space. Using methods from the theory of functional analysis we show the existence and uniqueness of a solution of these equations. In the case of stationary, i.e. time independent, solutions we perform a stability analysis which yields important results on their behavior. We also present an original study, based on non-Euclidean, hyperbolic, analysis, of a spatially localised bump solution in a limiting case. We illustrate our theoretical results with numerical simulations.

MSC:

30F45 Conformal metrics (hyperbolic, Poincaré, distance functions)
33C05 Classical hypergeometric functions, \({}_2F_1\)
34A12 Initial value problems, existence, uniqueness, continuous dependence and continuation of solutions to ordinary differential equations
34D20 Stability of solutions to ordinary differential equations
34D23 Global stability of solutions to ordinary differential equations
34G20 Nonlinear differential equations in abstract spaces
37M05 Simulation of dynamical systems
43A85 Harmonic analysis on homogeneous spaces
44A35 Convolution as an integral transform
45G10 Other nonlinear integral equations
51M10 Hyperbolic and elliptic geometries (general) and generalizations
92B20 Neural networks for/in biological studies, artificial life and related topics
92C20 Neural biology
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