Our group is interested in identifying physiological mechanisms of brain function and dysfunction, in particular, the neural substrates of learning and intelligence. For this, we build neural network and reinforcement learning models.

While keeping a strong interest in computational neuroscience, new endeavors seek to adapt computationally efficient mechanisms of the brain into AI architectures (such as deep neural networks) aiming for more powerful learning algorithms.

Before leading the Lab of Natural and Designed Intelligence at UPV, I was an Associate Research Scientist at Yale, where I was part of the Decision Lab (led by my current collaborator Ifat Levy). As a Postdoctoral Research Scientist, I collaborated with Nancy Kopell (Boston University), Thilo Womelsdorf (Vanderbilt University), and Xiao-Jing Wang (New York University). I earned my PhD in Computational Neuroscience at the Neuroscience Institute (UMH-CSIC), under the guidance of Albert Compte (IDIBAPS – Hospital Clinic).