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Measuring Predictability of Autonomous Network Transitions into Bursting Dynamics
Understanding spontaneous transitions between dynamical modes in a network is of significant importance. These transitions may separate pathological and normal functions of the brain. In this paper, we develop a set of measures that, based on spatio-temporal features of network activity, predict aut...
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| Publicado no: | PLoS One |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4391948/ https://ncbi.nlm.nih.gov/pubmed/25855975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0122225 |
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