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Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons

System identification techniques—projection pursuit regression models (PPRs) and convolutional neural networks (CNNs)—provide state-of-the-art performance in predicting visual cortical neurons’ responses to arbitrary input stimuli. However, the constituent kernels recovered by these methods are ofte...

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Detalles Bibliográficos
Autores principales: Wu, Ziniu, Rockwell, Harold, Zhang, Yimeng, Tang, Shiming, Lee, Tai Sing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589190/
https://www.ncbi.nlm.nih.gov/pubmed/34695120
http://dx.doi.org/10.1371/journal.pcbi.1009528

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