Connectionists: Graduate studies at the Princeton Neuroscience Institute - Early deadline this year!

[Yael Niv]

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<http://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 2017 are now being accepted, with a deadline of November 28 (note that this is earlier than usual). For details, including contact information, please visit www.princeton.edu/neuroscience<http://www.princeton.edu/neuroscience>.

Michael Berry - Neural computation in the visual system
William Bialek - Interface between physics and biology
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
Nathaniel Daw - Reward, learning and decision making
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
Uri Hasson - Temporal scales of neural processing
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 mechanisms for acoustic communication
Coleen Murphy - Molecular mechanisms of aging
Yael Niv - Interaction between learning, decision making, attention and memory
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 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
Samuel Wang - Dynamics and learning in neural circuits
Ilana Witten - Neural circuits underlying reward

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