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Removing uncertainty in neural networks
Neuroscientists draw lines of separation among structures and functions that they judge different, arbitrarily excluding or including issues in our description, to achieve positive demarcations that permits a pragmatic treatment of the nervous activity based on regularity and uniformity. However, un...
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| Pubblicato in: | Cogn Neurodyn |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer Netherlands
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7203388/ https://ncbi.nlm.nih.gov/pubmed/32399075 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-020-09574-w |
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