Selectivity and robustness of sparse coding networks

We investigate how the population nonlinearities resulting from lateral inhibition and thresholding in sparse coding networks influence neural response selectivity and robustness. We show that when compared to pointwise nonlinear models, such population nonlinearities improve the selectivity to a pr...

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Detalles Bibliográficos
Autores principales: Paiton, Dylan M., Frye, Charles G., Lundquist, Sheng Y., Bowen, Joel D., Zarcone, Ryan, Olshausen, Bruno A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691792/
https://www.ncbi.nlm.nih.gov/pubmed/33237290
http://dx.doi.org/10.1167/jov.20.12.10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691792/
https://www.ncbi.nlm.nih.gov/pubmed/33237290
http://dx.doi.org/10.1167/jov.20.12.10

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