My research interests are in the overlapping areas of cognitive science and artificial intelligence. I believe that computational approaches are inevitable for explaining the mechanisms of learning and information processing that underlie cognition. I have always been a strong proponent of (brain inspired) artificial neural networks as a preferred computational paradigm. I have worked with various models and applied them across domains, mainly language acquisition, and recently I became interested in cognitive robotics. In our work, we focus on modeling cognitive development of a situated embodied agent. I think that developmental cognitive robotics provides an ideal approach that allows to put together various building blocks in a semi-autonomous agent, with an emphasis on learning.
We also do experimental work focusing on motor cognition using the EEG measurement system. We deal with brain-computer interfaces, exploiting the motor imagery paradigm associated with (de)synchronization of brain rhythms.
I am a senior researcher of the Cognition and Neural Computation Research Group.
I supervise doctoral, master and bachelor students: see the list of defended theses
and of supervised projects by incoming students during the mobility semester.
My Google scholar profile