Non-linear auto-regressive models for cross-frequency coupling in neural time series
نویسندگان
چکیده
منابع مشابه
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 entire spectrum simultaneously, it avoids the pitfalls related to incorrect filtering or the use o...
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ژورنال
عنوان ژورنال: PLOS Computational Biology
سال: 2017
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1005893