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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| 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 |