Martínez, Cristina G. B. (Date of defense: 2020-11-27)
The use of nonlinear signal analysis measures to characterize electroencephalographic (EEG) recordings can be key for a better understanding of the underlying brain dynamics. In neurological disorders ...
Ruzzene, Giulia (Date of defense: 2020-09-25)
Partial synchronization is an important phenomenon observed in nature and model systems. Chimera states are the most studied type of partially synchronized dynamics and attract interest from many fields ...
Espinoso Palacín, Anaïs (Date of defense: 2023-12-12)
This thesis presents new phase-based signal analysis techniques to study brain dynamics from patients with pharmacoresistant focalonset epilepsy. We analyze electroencephalographic (EEG) recordings from ...