Abstract
Illusionary visual perception has been long used to shed light on biological vision pathways and mechanisms. In this work, we propose a biologically plausible spiking neural network with which spike events are used for iterative image reconstruction in which illusionary contrast perception, long known to manifest in human vision, is apparent. This parametric implementation allows us to examine this visual phenomenon in a biologically plausible computational framework, which may also account for differences in individual visual perception.
Original language | English |
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Title of host publication | 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings |
Publisher | IEEE Computer Society |
Pages | 1586-1590 |
Number of pages | 5 |
ISBN (Electronic) | 9781665496209 |
DOIs | |
State | Published - 2022 |
Event | 29th IEEE International Conference on Image Processing, ICIP 2022 - Bordeaux, France Duration: 16 Oct 2022 → 19 Oct 2022 |
Publication series
Name | Proceedings - International Conference on Image Processing, ICIP |
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ISSN (Print) | 1522-4880 |
Conference
Conference | 29th IEEE International Conference on Image Processing, ICIP 2022 |
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Country/Territory | France |
City | Bordeaux |
Period | 16/10/22 → 19/10/22 |
Bibliographical note
Funding Information:This work was supported by the Open University of Israel research grant. The authors would like to thank the students and faculty of the NBEL for the discussions.
Publisher Copyright:
© 2022 IEEE.
Keywords
- computational cognition
- image reconstruction
- neural engineering framework
- visual illusions
- visual perception