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Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks
Much of the information the brain processes and stores is temporal in nature—a spoken word or a handwritten signature, for example, is defined by how it unfolds in time. However, it remains unclear how neural circuits encode complex time-varying patterns. We show that by tuning the weights of a recu...
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| Pubblicato in: | eLife |
|---|---|
| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
eLife Sciences Publications, Ltd
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5851701/ https://ncbi.nlm.nih.gov/pubmed/29537963 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.31134 |
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