Biologically Plausible Spiking Neural Networks for Perceptual Filling-In

Autor: Cohen Duwek, Hadar, Ezra Tsur, Elishai
Rok vydání: 2021
Předmět:
Zdroj: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43
Popis: 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.
Databáze: OpenAIRE