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<span class=""></span><span class="">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. <br class="">
<br class="">
A listing of faculty affiliated with the program can be found online at <a href="http://pni.princeton.edu/faculty-research/faculty-research-summary" class="">http://pni.princeton.edu/faculty-research/faculty-research-summary</a>, 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. <br class="">
<br class="">
Applications for entry in the Fall of 2017 are now being accepted, with a deadline of <b class=""><u class="">November 27</u></b> (note that this is earlier than usual). For details, including contact information, please visit www.princeton.edu/neuroscience. 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 </span><a href="https://gradschool.princeton.edu/admission/applying-princeton/deadlines-and-fees/application-fee-waivers" class="">apply
for a waiver</a><span class=""> of the application fee. <br class="">
<br class="">
Michael Berry - Neural computation in the visual system<br class="">
William Bialek - Interface between physics and biology<br class="">
Lisa Boulanger - Neuro-immune interactions in brain health and disease<br class="">
Carlos Brody - Quantitative and behavioral neurophysiology<br class="">
Tim Buschman - Neural dynamics of cognitive control<br class="">
Jonathan Cohen - Neural bases of cognitive control<br class="">
Nathaniel Daw - Reward, learning and decision making, computational psychiatry<br class="">
Lynn Enquist - Neurovirology<br class="">
Annegret Falkner - Neural circuits for social behaviors<br class="">
Liz Gavis - mRNA localization and translational control in dendrite morphogenesis<br class="">
Alan Gelperin - Learning, memory and olfaction<br class="">
Asif Ghazanfar - Neuromechanics and communication<br class="">
Elizabeth Gould - Neurogenesis and hippocampal function<br class="">
Michael Graziano - Brain basis of consciousness<br class="">
Uri Hasson - Hierarchy of processing timescales and brain-to-brain communication<br class="">
Sabine Kastner - Neural basis for visual attention, comparative primate electrophysiology<br class="">
Andrew Leifer - Whole-brain neural dynamics underlying behavior<br class="">
Carolyn McBride - Molecular and neural basis of behavioral evolution<br class="">
Mala Murthy - Neural mechanism of sensorimotor integration and behavior <br class="">
Coleen Murphy - Molecular mechanisms of aging<br class="">
Yael Niv - Learning & decision making, computational psychiatry<br class="">
Ken Norman - Cognitive neuroscience of learning and memory<br class="">
Jonathan Pillow - Neural information processing, machine learning, and statistical modeling of neural data<br class="">
Sebastian Seung - Structure and function of neural circuits<br class="">
Joshua Shaevitz - Neural and behavioral dynamics in simple organisms<br class="">
David Tank - Neural circuit dynamics<br class="">
Jordan Taylor - Motor control and learning<br class="">
Alexander Todorov - Cognitive neuroscience of social cognition and behavior<br class="">
Samuel Wang - Dynamics and learning in neural circuits<br class="">
Ilana Witten - Neural circuits underlying reward<br class="">
<br class="">
</span><span class=""></span></div>
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