新加坡六合彩

Princeton University

The Graduate Program in Neuroscience at Princeton University offers a unique and intensive program of study spanning molecular, cellular, systems and cognitive neuroscience, followed by advanced research in a world-class Princeton laboratory. We seek highly motivated and creative students to join us in our efforts to understand the brain.

A listing of faculty affiliated with the program can be found online at , and below. Our doctoral program is flexible and individually-tailored, and we encourage students to pursue research with more than one faculty and across departmental boundaries.

Applications for entry in the Fall of 2017 are now being accepted, with a deadline of November 27 (note that this is earlier than usual). For details, including contact information, please visit . Applicants from Puerto Rico or the U.S. Virgin Islands who have questions about their ability to meet all admission requirements by the deadline should reach out to gs@princeton.edu. Applicants experiencing financial hardship can  of the application fee. 

 

Michael Berry - Neural computation in the visual system
William Bialek - Interface between physics and biology
Lisa Boulanger - Neuro-immune interactions in brain health and disease
Carlos Brody - Quantitative and behavioral neurophysiology
Tim Buschman - Neural dynamics of cognitive control
Jonathan Cohen - Neural bases of cognitive control
Nathaniel Daw - Reward, learning and decision making, computational psychiatry
Lynn Enquist - Neurovirology

Annegret Falkner - Neural circuits for social behaviors
Liz Gavis - mRNA localization and translational control in dendrite morphogenesis
Alan Gelperin - Learning, memory and olfaction
Asif Ghazanfar - Neuromechanics and communication
Elizabeth Gould - Neurogenesis and hippocampal function
Michael Graziano - Brain basis of consciousness
Uri Hasson - Hierarchy of processing timescales and brain-to-brain communication
Sabine Kastner - Neural basis for visual attention, comparative primate electrophysiology

Andrew Leifer - Whole-brain neural dynamics underlying behavior
Carolyn McBride - Molecular and neural basis of behavioral evolution
Mala Murthy - Neural mechanism of sensorimotor integration and behavior 

Coleen Murphy - Molecular mechanisms of aging
Yael Niv - Learning & decision making, computational psychiatry
Ken Norman - Cognitive neuroscience of learning and memory
Jonathan Pillow - Neural information processing, machine learning, and statistical modeling of neural data
Sebastian Seung - Structure and function of neural circuits
Joshua Shaevitz - Neural and behavioral dynamics in simple organisms
David Tank - Neural circuit dynamics
Jordan Taylor - Motor control and learning
Alexander Todorov - Cognitive neuroscience of social cognition and behavior
Samuel Wang - Dynamics and learning in neural circuits
Ilana Witten - Neural circuits underlying reward