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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446191/ https://www.ncbi.nlm.nih.gov/pubmed/28552964 http://dx.doi.org/10.1371/journal.pone.0178683 |