Research
I am a Serra Hunter Assistant Professor at the Department of Mathematics and Computer Science, at the University of Barcelona.
My main research interest is on the motor control aspects of decision-making. Specifically, I am devoted to
study the brain mechanisms underlying decisions between motor actions, and the principles operating the
specification of movement parameters as a function of sensory information, of the structure the
motor apparatus and of motivation. In neuroscience, one of the most relevant questions is how the brain
encodes actions implying different costs and yielding different payoffs, each associated to a different option,
to finally decide a movement of specific kinematic and dynamic properties. Understanding how this operates has
both an academic and a clinical interest, to devise the principles underlying the generation of specific movements,
and to provide a more comprehensive understanding of volitional disorders such as Parkinson's Disease.
My approach uses a combination of experimental techniques (Psychophysics and TMS)
to investigate the manner in which movement is generated under specific experimental conditions and to probe the
operation of specific brain areas, and of computational techniques (Computational Models)
to investigate the dynamics of the cortex and the basal ganglia during the process of defining the parameters to elicit
specific movements.
List of TFG/TFM offered for 2019/2020 :
- RLMov: Learning the Structure of Movement by Reinforcement
- Parkinson’s Disease Brain States and Functional Connectivity: A Machine Learning Analysis of Neuroimaging Data
- Brain Functional Connectivity of Motivated States: A Machine Learning Analysis
- Machine Learning Identification of Functional Connectivity with iEEG
- From the Visual Analysis of Movement to Principled Models of Motivated Movement