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Universality and individuality in neural dynamics across large populations of recurrent networks
Task-based modeling with recurrent neural networks (RNNs) has emerged as a popular way to infer the computational function of different brain regions. These models are quantitatively assessed by comparing the low-dimensional neural representations of the model with the brain, for example using canon...
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| Wydane w: | Adv Neural Inf Process Syst |
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| Główni autorzy: | , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7416639/ https://ncbi.nlm.nih.gov/pubmed/32782422 |
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