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Liouville Integrability in a Four-Dimensional Model of the Visual Cortex

We consider a natural extension of the Petitot–Citti–Sarti model of the primary visual cortex. In the extended model, the curvature of contours is taken into account. The occluded contours are completed via sub-Riemannian geodesics in the four-dimensional space M of positions, orientations, and curv...

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Detalles Bibliográficos
Autores principales: Galyaev, Ivan, Mashtakov, Alexey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703406/
https://www.ncbi.nlm.nih.gov/pubmed/34940744
http://dx.doi.org/10.3390/jimaging7120277
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author Galyaev, Ivan
Mashtakov, Alexey
author_facet Galyaev, Ivan
Mashtakov, Alexey
author_sort Galyaev, Ivan
collection PubMed
description We consider a natural extension of the Petitot–Citti–Sarti model of the primary visual cortex. In the extended model, the curvature of contours is taken into account. The occluded contours are completed via sub-Riemannian geodesics in the four-dimensional space M of positions, orientations, and curvatures. Here, [Formula: see text] models the configuration space of neurons of the visual cortex. We study the problem of sub-Riemannian geodesics on M via methods of geometric control theory. We prove complete controllability of the system and the existence of optimal controls. By application of the Pontryagin maximum principle, we derive a Hamiltonian system that describes the geodesics. We obtain the explicit parametrization of abnormal extremals. In the normal case, we provide three functionally independent first integrals. Numerical simulations indicate the existence of one more first integral that results in Liouville integrability of the system.
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spelling pubmed-87034062021-12-25 Liouville Integrability in a Four-Dimensional Model of the Visual Cortex Galyaev, Ivan Mashtakov, Alexey J Imaging Article We consider a natural extension of the Petitot–Citti–Sarti model of the primary visual cortex. In the extended model, the curvature of contours is taken into account. The occluded contours are completed via sub-Riemannian geodesics in the four-dimensional space M of positions, orientations, and curvatures. Here, [Formula: see text] models the configuration space of neurons of the visual cortex. We study the problem of sub-Riemannian geodesics on M via methods of geometric control theory. We prove complete controllability of the system and the existence of optimal controls. By application of the Pontryagin maximum principle, we derive a Hamiltonian system that describes the geodesics. We obtain the explicit parametrization of abnormal extremals. In the normal case, we provide three functionally independent first integrals. Numerical simulations indicate the existence of one more first integral that results in Liouville integrability of the system. MDPI 2021-12-17 /pmc/articles/PMC8703406/ /pubmed/34940744 http://dx.doi.org/10.3390/jimaging7120277 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Galyaev, Ivan
Mashtakov, Alexey
Liouville Integrability in a Four-Dimensional Model of the Visual Cortex
title Liouville Integrability in a Four-Dimensional Model of the Visual Cortex
title_full Liouville Integrability in a Four-Dimensional Model of the Visual Cortex
title_fullStr Liouville Integrability in a Four-Dimensional Model of the Visual Cortex
title_full_unstemmed Liouville Integrability in a Four-Dimensional Model of the Visual Cortex
title_short Liouville Integrability in a Four-Dimensional Model of the Visual Cortex
title_sort liouville integrability in a four-dimensional model of the visual cortex
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703406/
https://www.ncbi.nlm.nih.gov/pubmed/34940744
http://dx.doi.org/10.3390/jimaging7120277
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