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Modeling time-varying brain networks with a self-tuning optimized Kalman filter
Brain networks are complex dynamical systems in which directed interactions between different areas evolve at the sub-second scale of sensory, cognitive and motor processes. Due to the highly non-stationary nature of neural signals and their unknown noise components, however, modeling dynamic brain...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451990/ https://www.ncbi.nlm.nih.gov/pubmed/32804971 http://dx.doi.org/10.1371/journal.pcbi.1007566 |