Chicharro Raventós, Daniel (Date of defense: 2011-04-07)
We study two methods of data analysis which are common tools for the analysis of neuronal data. In particular, we examine how causal interactions between brain regions can be investigated using time ...
Malvestio, Irene (Date of defense: 2019-02-21)
An important problem in neuroscience is the assessment of the connectivity between neurons from their spike trains. One recent approach developed for the detection of directional couplings between ...
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 ...
Grau Leguia, Marc (Date of defense: 2019-03-15)
Un problema principal de la ciència de xarxes és com reconstruir (inferir) la topologia d’una xarxa real a partir de senyals mesurades de les seves unitats internes. Entendre la arquitectura d’una xarxa ...
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 ...
Laiou, Petroula (Date of defense: 2017-10-05)
The characterization of interactions between coupled dynamics from their signals is important for the understanding of real-world systems. The particular aspect of the detection of directional interactions ...