Closing the gap between single-unit and neural population codes: Insights from deep learning in face recognition

Single-unit responses and population codes differ in the “read-out” information they provide about high-level visual representations. Diverging local and global read-outs can be difficult to reconcile with in vivo methods. To bridge this gap, we studied the relationship between single-unit and ensem...

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Detalles Bibliográficos
Autores principales: Parde, Connor J., Colón, Y. Ivette, Hill, Matthew Q., Castillo, Carlos D., Dhar, Prithviraj, O’Toole, Alice J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363775/
https://www.ncbi.nlm.nih.gov/pubmed/34379084
http://dx.doi.org/10.1167/jov.21.8.15

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363775/
https://www.ncbi.nlm.nih.gov/pubmed/34379084
http://dx.doi.org/10.1167/jov.21.8.15

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