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Synaptic plasticity as Bayesian inference
Learning, especially rapid learning, is critical for survival. However, learning is hard: a large number of synaptic weights must be set based on noisy, often ambiguous, sensory information. In such a high-noise regime, keeping track of probability distributions over weights is the optimal strategy....
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| Publicado no: | Nat Neurosci |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7617048/ https://ncbi.nlm.nih.gov/pubmed/33707754 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41593-021-00809-5 |
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