Consisting of a large number of intricately connected neurons,
the brain is one of the most sophisticated dynamical systems in nature.
Understanding how the brain computes is at the forefront of current scientific research.
Research in our group focuses on theoretical analysis of the biophysical properties of
neural networks; this includes their applications to computational models of neurobiological
functions such as song generation and recognition in songbirds,
motor control in basal ganglia, and feature map formation in visual cortex. The theoretical
modeling is done in close collaboration with experimental groups.