(2019) PhD. (c) Biophysics and Computational Biology, Universidad de Valparaíso, Chile

Thesis project: Brain dynamics modeling

Spontaneous brain activity shows switching behavior patterns which can be related to cognitive functions and neurophysiological alterations regarding changes in brain connectivity. We model the resting state (RS) brain dynamics to relate the spatio-temporal patterns to cognitive functions. Particularly we use Hidden Semi Markov model (HSMM) on electroencephalography data (EEG) to characterize human brain states in different environmental or clinical scenarios. The aim is to relate such patterns to cognitive function, both to serve as markers of disease or disease progression, and as a framework for understanding the relationship between brain activation and cognition. This study contributes to our knowledge about the cerebral mechanisms underlying different clinical setups.


(2012) MSc. Biomedical Engineering, Universidad de Valparaíso, Chile

(2012) Biomedical Engineering, Universidad de Valparaíso, Chile

Areas of Interest
– Biomedical Signal  processing
– Computational Neuroscience
– Brain dynamics modeling and cognitive neuroscience
– Electroencephalography EEG
– Local Field Potentials LFP
– Clinical Neurophysiology and Language