Efficient transfer entropy analysis of non-stationary neural time series

Information theory allows us to investigate information processing in neural systems in terms of information transfer, storage and modification. Especially the measure of information transfer, transfer entropy, has seen a dramatic surge of interest in neuroscience. Estimating transfer entropy from t...

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Veröffentlicht in:	PloS one 2014-07, Vol.9 (7), p.e102833-e102833
Hauptverfasser:	Wollstadt, Patricia, Martínez-Zarzuela, Mario, Vicente, Raul, Díaz-Pernas, Francisco J, Wibral, Michael
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Biology and Life Sciences Brain research Computational neuroscience Computer and Information Sciences Computer simulation Data processing Entropy Entropy (Information theory) Estimation Estimators Information processing Information storage Information systems Information theory Information transfer Magnetoencephalography Medical imaging Medicine and Health Sciences Models, Theoretical Multiprocessing Multivariate analysis Nervous system Neurosciences Numerical simulations Physical Sciences Probability density functions Robustness (mathematics) Stochastic processes Stochasticity Telematics Theory Time series
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