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Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network
Many experiments have suggested that the brain operates close to a critical state, based on signatures of criticality such as power-law distributed neuronal avalanches. In neural network models, criticality is a dynamical state that maximizes information processing capacities, e.g. sensitivity to in...
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| Publicado en: | PLoS One |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5446191/ https://ncbi.nlm.nih.gov/pubmed/28552964 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0178683 |
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