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 in our efforts to understand the brain.
A listing of faculty affiliated with the program can be found online at www.princeton.edu/neuroscience, 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 2014 are now being accepted, with a deadline of December 1. For details, including contact information, please visit www.princeton.edu/neuroscience.
- Michael Berry – Neural computation in the retina
- William Bialek – Interface between physics and biology
- Matthew Botvinick – Neural foundations of human behavior
- Lisa Boulanger – Neuronal functions of immune molecules
- Carlos Brody – Quantitative and behavioral neurophysiology
- Tim Buschman – Neural dynamics of cognitive control
- Jonathan Cohen – Neural bases of cognitive control
- Lynn Enquist – Neurovirology
- Liz Gavis – Neural development and mRNA localization in Drosophila
- Alan Gelperin – Learning, memory and olfaction
- Asif Ghazanfar – Neurobiology of primate social agents
- Elizabeth Gould – Neurogenesis and hippocampal function
- Michael Graziano – Sensorimotor integration
- Charles Gross – Functions of the cerebral cortex in behavior
- Uri Hasson – Temporal scales of neural processing
- Philip Holmes – Mathematical modeling
- John Hopfield – Computational neurobiology/biophysics
- Barry Jacobs – Brain monoamine neurotransmitters
- Sabine Kastner – Neural mechanisms for visual perception
- Carolyn McBride – Molecular and neural basis of behavioral evolution
- Mala Murthy – Neurophysiology of olfactory and auditory perception in Drosophila
- Coleen Murphy – Molecular mechanisms of aging
- Yael Niv – Reinforcement learning and decision making
- Ken Norman – Neural bases of episodic memory
- Jonathan Pillow – Neural information processing, machine learning, and statistical modeling of neural data
- Sebastian Seung – Structure and function of neural circuits
- Joshua Shaevits – 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
- Nicholas Turk-Browne – Cognitive neuroscience of attention, perception and memory
- Samuel Wang – Dynamics and learning in neural circuits
- Ilana Witten – Neural circuits underlying reward and motivation