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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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eLife Sciences Publications, Ltd
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851701/ https://www.ncbi.nlm.nih.gov/pubmed/29537963 http://dx.doi.org/10.7554/eLife.31134 |