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.
|Number of pages||7|
|State||Published - 2021|
|Event||43rd Annual Meeting of the Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021 - Virtual, Online, Austria|
Duration: 26 Jul 2021 → 29 Jul 2021
|Conference||43rd Annual Meeting of the Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021|
|Period||26/07/21 → 29/07/21|
Bibliographical noteFunding Information:
This work was supported by the Israel Innovation Authority (EzerTech) and the Open University of Israel research grant.
© Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021.All rights reserved.
- cognitive architectures
- computational modeling
- computational perception
- neural networks