Degrees/Diplomas: Ph.D., Applied Mathematics, Brown University
Training Area: Behavioral and Cognitive Neuroscience
Research Interests: Systems, Statistical analysis of large-scale extracellular recordings, the study of neuronal circuits and their models, neural coding
Research Focus: Neuroscience
Professor Amarasingham received his Ph.D. in Applied Mathematics from Brown and completed his postdoctoral training in Neuroscience at Rutgers. His current research interests span topics in statistics as well as neural coding and computation, with an emphasis on questions raised by large-scale neurophysiological data sets, and their implications for our understanding of the dynamics and functional properties of neuronal circuits.