Abstract
This final chapter describes the transition to the mathematical themes that will be developed in the second volume. (i) The explicit calculation of the elements of the sub-Riemannian geometry of the \(\mathbb {V}_\mathrm{J}\) model using the tools of control theory: geodesics , unit sphere, wave front, caustic , cut locus, conjugate points, and so on. (ii) The more natural model \(\mathbb {V}_\mathrm{S}\), constructed on SE(2) itself (which is the principal bundle associated with \(\mathbb {V}_\mathrm{J}\)). SE(2) is no longer nilpotent. Its ‘nilpotentization’, which defines its ‘tangent cone’ at the origin, is isomorphic to the polarized Heisenberg group, , but globally it has a very different sub-Riemannian geometry. (iii) As far as the models model a functional architecture of connections between neurons which act as filters, the natural mathematical framework for low-level visual perception is the one in which non-commutative harmonic analysis on the group SE(2) is related to its sub-Riemannian geometry. (iv) The stochastic interpretation of the variational models leads to advection–diffusion algorithms described by a Fokker–Planck equation which can be calculated explicitly for the \(\mathbb {V}_\mathrm{J}\) model (while the calculation in \(\mathbb {V}_\mathrm{S}\) remains very complicated). Such techniques belong to the general theory of the heat kernel for the hypoelliptic Laplacians of sub-Riemannian manifolds. (v) One can interpolate between \(\mathbb {V}_\mathrm{J}\) and \(\mathbb {V}_\mathrm{S}\) using a continuous family of sub-Riemannian models.
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Notes
- 1.
Named after Robert Brown.
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Petitot, J. (2017). Transition to Volume II. In: Elements of Neurogeometry. Lecture Notes in Morphogenesis. Springer, Cham. https://doi.org/10.1007/978-3-319-65591-8_6
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