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Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision
Deep feedforward neural network models of vision dominate in both computational neuroscience and engineering. The primate visual system, by contrast, contains abundant recurrent connections. Recurrent signal flow enables recycling of limited computational resources over time, and so might boost the...
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| Publicat a: | PLoS Comput Biol |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7556458/ https://ncbi.nlm.nih.gov/pubmed/33006992 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008215 |
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