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Princeton Neuroscience Institute (PNI)

Director

Jonathan D. Cohen, Psychology, Princeton Neuroscience Institute

David W. Tank, Molecular Biology, Princeton Neuroscience Institute

Director of Graduate Studies

Carlos D. Brody, Molecular Biology, Princeton Neuroscience Institute

Executive Committee

Michael J. Berry, Molecular Biology, Princeton Neuroscience Institute

Matthew M. Botvinick, Psychology, Princeton Neuroscience Institute

Lisa Boulanger, Molecular Biology, Princeton Neuroscience Institute

Carlos D. Brody, Molecular Biology, Princeton Neuroscience Institute

Jonathan D. Cohen, Psychology, Princeton Neuroscience Institute

Lynn W. Enquist, Molecular Biology, Princeton Neuroscience Institute

Asif A. Ghazanfar, Psychology, Princeton Neuroscience Institute

Elizabeth Gould, Psychology, Princeton Neuroscience Institute

Michael S. Graziano, Psychology, Princeton Neuroscience Institute

Charles G. Gross, Psychology, Princeton Neuroscience Institute

Uri Hasson, Psychology, Princeton Neuroscience Institute

Bartley G. Hoebel, Psychology, Princeton Neuroscience Institute

Barry L. Jacobs, Psychology, Princeton Neuroscience Institute

Sabine Kastner, Psychology, Princeton Neuroscience Institute

Mala Murthy, Molecular Biology, Princeton Neuroscience Institute

Yael Niv, Psychology, Princeton Neuroscience Institute

Kenneth A. Norman, Psychology, Princeton Neuroscience Institute

David W. Tank, Molecular Biology, Princeton Neuroscience Institute

Samuel S. H. Wang, Molecular Biology, Princeton Neuroscience Institute

Associated Faculty

William Bialek, Physics and Lewis-Sigler Institute for Integrative Genomics

Jonathan T. Eggenschwiler, Molecular Biology

Alan Gelperin, Molecular Biology, Princeton Neuroscience Institute

Philip J. Holmes, Mechanical and Aerospace Engineering

Coleen T. Murphy, Molecular Biology, Lewis-Sigler Institute for Integrative Genomics

Sits with Committee

David M. Blei, Computer Science

Rebecca D. Burdine, Molecular Biology

Andrew R. Conway, Psychology

Ingrid C. Daubechies, Mathematics, Applied and Computational Mathematics

Susan T. Fiske, Psychology

Elizabeth R. Gavis, Molecular Biology

James L. Gould, Ecology and Evolutionary Biology

Philip N. Johnson-Laird, Psychology

Daniel N. Osherson, Psychology

Deborah A. Prentice, Psychology

Peter J. Ramadge, Electrical Engineering

Michael V. Romalis, Physics

Daniel I. Rubenstein, Ecology and Evolutionary Biology

Robert E. Schapire, Computer Science

Clarence E. Schutt, Chemistry

Robert F. Stengel, Mechanical and Aerospace Engineering

Jeffry B. Stock, Molecular Biology

Alexander T. Todorov, Psychology, Woodrow Wilson School

Nicholas B. Turk-Browne, Psychology


Understanding how the brain works, and how it gives rise to mental function, is one of the most exciting challenges in science. This effort is inherently interdisciplinary, and the Princeton Neuroscience Institute (PNI) draws upon developments in molecular and cell biology, genetic engineering, cognitive and social psychology, as well as applied math, chemistry, computer science, economics, engineering, and physics, for new methods of measuring and understanding neural function.

One of the goals of the institute is to understand how the whole system works together as one unit from all of the very complex interactions and underlying parts. Princeton collaborators utilize their expertise in quantitative disciplines to answer these questions. There is a particular emphasis on the close connection between theory, modeling, and experimentation using the most advanced technologies.

One of the most important objectives of the institute is to provide Princeton undergraduates with training at the forefront of neuroscience. The program encourages the serious study of molecular, cellular, developmental, and systems neuroscience as it interfaces with cognitive and behavioral research. Current research at Princeton includes molecular, genetic, and pharmacologic analysis of learning and memory; the role of neural stem cells in the adult brain; viral infections of the nervous system; optical and electrical recordings of neuronal function; brain imaging studies of cognitive functions, such as attention and memory in humans; and mathematical and computational analysis of neural network function. A more extensive listing of research opportunities in neuroscience is available online.

In addition to providing centralized curricular resources for students and faculty, the institute offers shared scientific facilities and access to state-of-the-art instruments for studying the brain, including a Siemens 3T MAGNETOM Allegra head-only MR system and laser scanning confocal microscopes, to name a few.