Research interests


Connectivity (mainly in the brain)

connectivity

Dynamical networks model physical and biological behavior in many applications, notably in the brain. The collective behavior of a set of biological actors is influenced by the topology of the network which connects them. A great need exists for the development of effective methods of inferring network structure from time series data I analyze the functional architecture of dynamical networks, using synchronization, causality and kernel methods.


Biophysics and function in the cortex

cortex

In collaboration with Lyle J. Graham we investigate the way in which single neurons and populations of neurons perform computations and process information, mainly in the visual system. The research involves electrophysiology and computational modeling. Furthermore, I am interested in synaptic plasticity and its influence in synchronization and signal processing of populations of neurons.