Non-linear Auto-Regressive Models for Cross-Frequency Coupling in Neural Time Series
Tom Dupré la Tour, Lucille Tallot, Laetitia Grabot, Valérie Doyère, Virginie van Wassenhove, Yves Grenier, Alexandre Gramfort
This paper introduces non-linear auto-regressive models to detect and quantify cross-frequency coupling in neural time series, showing improved performance over traditional methods.
PLoS Computational Biology · Dec 11, 2017Peer-reviewedNeuroscience