GaborNet Visual Encoding: A Lightweight Region-Based Visual Encoding Model With Good Expressiveness and Biological Interpretability

Computational visual encoding models play a key role in understanding the stimulus–response characteristics of neuronal populations in the brain visual cortex. However, building such models typically faces challenges in the effective construction of non-linear feature spaces to fit the neuronal resp...

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Detalles Bibliográficos
Autores principales: Cui, Yibo, Qiao, Kai, Zhang, Chi, Wang, Linyuan, Yan, Bin, Tong, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7893978/
https://www.ncbi.nlm.nih.gov/pubmed/33613179
http://dx.doi.org/10.3389/fnins.2021.614182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7893978/
https://www.ncbi.nlm.nih.gov/pubmed/33613179
http://dx.doi.org/10.3389/fnins.2021.614182

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