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Biologically Plausible Spiking Neural Networks for Perceptual Filling-In

  • Author(s): Cohen Duwek, Hadar;
  • Ezra Tsur, Elishai
  • et al.
Abstract

Visual perception initiated with a low-level derivation of Spatio-temporal edges and advances to a higher-level perception of filled surfaces. According to the isomorphic theory, this perceptual filling-in is governed by an activation spread across the retinotopic map, driven from edges to interiors. Here we propose two biologically plausible spiking neural networks, which demonstrate perceptual filling-in by resolving the Poisson equation. Each network exhibits a distinct dynamic and architecture and could be realized and further integrated in the brain.

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