Article

Non-linear Auto-Regressive Models for Cross-Frequency Coupling in Neural Time Series

2017-07-06

Abstract excerpt

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 entire spectrum simultaneously, it avoids the pitfalls related to incorrect filtering or the use of the Hilbert transf...

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Literature Corpus work: ed66d1eb-5bdc-568c-a18e-3b2d262d390a
DOI: 10.1101/159731

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