Princeton Neuroscience Institute

Faculty Research

Neural computation in the retina, Michael Berry

Interface between Physics and Biology, William Bialek

Probabilistic graphical models and approximate posterior inference, David Blei

Neural and computational basis of cognitive control, decision making, working memory, Matthew Botvinick

Quantitative approaches to systems neuroscience, Carlos Brody

Stochastic models and image analysis, Rene Carmona

Neural mechanisms of cognitive control, Jonathan Cohen

Biological, computational and electronic olfaction; learning and memory, Alan Gelperin

Mathematical modeling, Philip Holmes

Computational neurobiology/biophysics, John Hopfield

Cognitive Neuroscience of Learning and Memory, Kenneth Norman

Biophysics theory and experiment, Michael Romalis

Theoretical and applied aspects of machine learning, Robert Schapire

Measurement and analysis of neural circuit dynamics, David Tank

Learning rules and design principles in neural circuits, Samuel Wang