Mayer NM, Browne M, Herrmann JM, Asada M. Symmetries, non-Euclidean metrics, and patterns in a Swift-Hohenberg model of the visual cortex.
BIOLOGICAL CYBERNETICS 2008;
99:63-78. [PMID:
18568362 DOI:
10.1007/s00422-008-0238-9]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2006] [Accepted: 04/27/2008] [Indexed: 05/26/2023]
Abstract
The aim of this work is to investigate the effect of the shift-twist symmetry on pattern formation processes in the visual cortex. First, we describe a generic set of Riemannian metrics of the feature space of orientation preference that obeys properties of the shift-twist, translation, and reflection symmetries. Second, these metrics are embedded in a modified Swift-Hohenberg model. As a result we get a pattern formation process that resembles the pattern formation process in the visual cortex. We focus on the final stable patterns that are regular and periodic. In a third step we analyze the influences on pattern formation using weakly nonlinear theory and mode analysis. We compare the results of the present approach with earlier models.
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