Connectionists: new PhD in Neuroscience at Princeton

[Carlos Brody]

The Princeton Neuroscience Institute ( http:// 
neuroscience.princeton.edu ), at Princeton University, has a created  
a new Ph.D. program in Neuroscience ( http:// 
neuroscience.princeton.edu/PhD ). This new program greatly builds and  
expands upon a previously existing interdepartmental Ph.D in  
Neuroscience at Princeton. We'll be grateful if you get a chance to  
forward this email to your students, and/or post the attached  
brochure -- we encourage all interested students to apply.

Quantitative and Computational Neuroscience track. We strongly  
encourage students with training in quantitative fields such as  
physics, mathematics, computer science, or engineering to apply to  
our PhD program. Research in quantitative approaches to the Life  
Sciences is particularly strong at Princeton University, including  
molecular biology, neuroscience, evolutionary biology, and  
psychology. A Quantitative and Computational Neuroscience (QCN) track  
exists within our neuroscience Ph.D. It teaches students with a  
quantitative background about neuroscience problems to which they can  
apply their quantitative skills. The QCN track also serves students  
with a biology background who wish to acquire further training in  
quantitative tools for the biological sciences.

Innovative coursework. A key component of our new Ph.D. is year-long  
core course, taken in the first year and inspired in part by Woods  
Hole-style advanced courses. Students in our core course will learn  
through a combination of lectures and first-hand experimental  
experience. All students, regardless of previous experience, will  
perform their own experiments. From single neurons and patch clamp,  
to in vivo electrophysiology in behaving animals, to computational  
modeling, to human neurophysiology and functional MRI, this course  
will guide and teach students about the brain as they learn to  
design, perform, analyze, and critique their own experiments.

Please visit us at http://neuroscience.princeton.edu/PhD .

Faculty and research interests.

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
Jonathan Cohen : Neural bases of cognitive control
Jonathan Eggenschwiler : Mouse neural development
Lynn Enquist : Neurovirology
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
Bartley Hoebel : Behavioral neuroscience
Philip Holmes : Mathematical modeling
Barry Jacobs : Brain monoamine neurotransmitters
Sabine Kastner : Neural mechanisms for visual perception
Fei-Fei Li : Computer vision, cognitive neuroscience, fMRI
Coleen Murphy : Molecular mechanisms of aging
Yael Niv : Reinforcement learning and decision making
Ken Norman : Neural bases of episodic memory
Daniel Osherson : How does the brain reason?
David Tank : Neural circuit dynamics
Samuel Wang : Dynamics and learning in neural circuits


yours
Carlos Brody

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Carlos Brody    (609) 258-7645     brody at princeton.edu
Howard Hughes Medical Institute & Princeton University
Director of Graduate Studies      Neuroscience Program
Princeton Neurosci. Inst.   &   Dept. of Molecular Biology
316 Schultz Lab, Washington Rd,  Princeton  NJ  08544
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