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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| Main Authors: | , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Public Library of Science (PLoS)
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/dce80bd5117545c39b83f2276e7d9353 |
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