Plaid masking explained with input-dependent dendritic nonlinearities
A serious obstacle for understanding early spatial vision comes from the failure of the so-called standard model (SM) to predict the perception of plaid masking. But the SM originated from a major oversimplification of single neuron computations, ignoring fundamental properties of dendrites. Here we show that a spatial vision model including computations mimicking the input-dependent nature of dendritic nonlinearities, i.e. including nonlinear neural summation, has the potential to explain plaid masking data.
Authors
- Marcelo Bertalmı́o (ORCID: https://orcid.org/0000-0002-1023-8325)
- Felix A. Wichmann (ORCID: https://orcid.org/0000-0002-2592-634X)
- Jesús Malo (ORCID: https://orcid.org/0000-0002-5684-8591)
- Alexia Durán Vizcaíno
Institutions
- Consejo Superior de Investigaciones Científicas (ES)
- Universitat de València (ES)
- National Research Council (LK)
- University of Tübingen (DE)
Publication Details
- Journal
- Scientific Reports
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1038/s41598-024-75471-5
- Citations
- 3
- Primary Topic
- Visual perception and processing mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 1.03
Funders
- Fundación BBVA
- Deutsche Forschungsgemeinschaft
- Ministerio de Ciencia e Innovación
- Banco Bilbao Vizcaya Argentaria
- Consejo Superior de Investigaciones Científicas