A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Mutual Information in Frequency and Its Application to Measure Cross-Frequency Coupling in Epilepsy
2018
IEEE Transactions on Signal Processing
We define a metric, mutual information in frequency (MI-in-frequency), to detect and quantify the statistical dependence between different frequency components in the data, referred to as cross-frequency coupling and apply it to electrophysiological recordings from the brain to infer cross-frequency coupling. The current metrics used to quantify the cross-frequency coupling in neuroscience cannot detect if two frequency components in non-Gaussian brain recordings are statistically independent
doi:10.1109/tsp.2018.2821627
fatcat:6iclj2xgs5at7mruemofywcofy