Cargando…
Non-linear auto-regressive models for cross-frequency coupling in neural time series
We address the issue of reliably detecting and quantifying cross-frequency coupling (CFC) in neural time series. Based on non-linear auto-regressive models, the proposed method provides a generative and parametric model of the time-varying spectral content of the signals. As this method models the e...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739510/ https://www.ncbi.nlm.nih.gov/pubmed/29227989 http://dx.doi.org/10.1371/journal.pcbi.1005893 |