INSTITUTO DE FISICA DE LIQUIDOS Y SISTEMAS BIOLOGICOS
Unidad Ejecutora - UE
congresos y reuniones científicas
Causal information to characterize the dynamics of EEG during motor type activity
FERNANDO MONTANI; OSVALDO A. ROSSO; ROMAN BARAVALLE
Conferencia; XIX Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics; 2016
Electroencephalograms (EEG) reflect the electrical activity of the brain, which can be considered ruled by a chaotic nonlinear dynamics. In this paper we consider the human EEG recordings during different motor type activities and when imagining that they perform this activity. We characterize the different regions of the cortex according to different motor and imaginative activities by frequency bands, and using the causal plane entropy-complexity H x C, information entropy versus Fisher F x H and the plane complexity- Fisher C x F. This allows us to characterize the dynamics of neuronal activity to the motor and imaginative responses of such activities.