A Cortical-Inspired Geometry for Contour Perception and Motion Integration

In this paper we develop a geometrical model of functional architecture for the processing of spatio-temporal visual stimuli. The model arises from the properties of the receptive field linear dynamics of orientation and speed-selective cells in the visual cortex, that can be embedded in the definition of a geometry where the connectivity between points is driven by the contact structure of a 5D manifold. Then, we compute the stochastic kernels that are the approximations of two Fokker Planck operators associated to the geometry, and implement them as facilitation patterns within a neural population activity model, in order to reproduce some psychophysiological findings about the perception of contours in motion and trajectories of points found in the literature.

• Publication year

  2013

• Venue

  Journal of Mathematical Imaging and Vision

• Publication date

  2013-01-15

• Fields of study

  Biology, Mathematics, Physics, Computer Science

• Identifiers
  DOI 10.1007/s10851-013-0482-zarXiv 1301.3433
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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