research
To understand mechanisms underlying neurophysiological phenomena observed in experiment over scales ranging from the molecular, single cellular, neuronal systems, to that of the whole brain, theoretical and computational neuroscience has experienced explosive growth over last twenty years. We have seen fast infusions of new ideas and rapid expansions of emerging research directions in its developments.
My research interests focus on mathematical modeling and scientific computation for scientific problems arising from neuroscience. In particular, I am interested in understanding of the relation between structures and functions of biological neuronal network dynamics, development of new efficient computational methods for modeling large-scale cortical networks, discovery of potential mechanisms underlying information processing in the brain, and investigation of new mathematical structures and tools to extract useful information from neurophysiological data measured in experiment. Below are some directions of my research work.