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Efficient probabilistic inference in generic neural networks trained with non-probabilistic feedback
Animals perform near-optimal probabilistic inference in a wide range of psychophysical tasks. Probabilistic inference requires trial-to-trial representation of the uncertainties associated with task variables and subsequent use of this representation. Previous work has implemented such computations...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5527101/ https://www.ncbi.nlm.nih.gov/pubmed/28743932 http://dx.doi.org/10.1038/s41467-017-00181-8 |