Measures of linear and nonlinear interdependence of electrocortigram time series from evoked-response potential experiments.
In this brief discussion, we consider various coupling measures applied to electrocortigram (ECoG) data. The analysis consists of both linear and nonlinear measures of coupling - or interdependence - between two ensembles of measurements collected at two electrodes in an evoked-response potential (ERP) experiment. The interdependence measures are applied to simulated time series data and experimental ECoG data. The algorithms discussed here are implemented in the interactive data language (IDL) and available for download from the authors.
Kramer
M A
MA
Program in Appl. Sci. & Technol., California Univ., Berkeley, CA, USA.
Edwards
E
E
Soltani
M
M
Knight
R T
RT
Berger
M S
MS
Szeri
A J
AJ