[Comp-neuro] Doctoral studies in Computational/Theoretical Neuroscience at NYU
eero.simoncelli at nyu.edu
Wed Oct 14 22:08:42 CEST 2015
New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences.
A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests.
Center for Neural Science (CNS) (deadline: 1 December)
• André A. Fenton - Molecular, neural, behavioral, and computationalaspects of memory.
• Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics.
• Roozbeh Kiani - Vision and decision-making.
• Wei Ji Ma (also in Psychology) - Perception, working memory, and decision making.
• Tony Movshon - Vision and visual development.
• Bijan Pesaran - Neuronal dynamics and decision making.
• Alex Reyes - Functional interactions of neurons in a network.
• John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation.
• Robert Shapley - Visual physiology and perception.
• Eero Simoncelli - Computational vision and audition.
• Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits.
Neuroscience and Physiology program, School of Medicine (deadline: 1 December)
• Gyorgy Buzsaki - Rhythms in neural networks.
• Dmitry Rinberg - Sensory information processing in the behaving animal.
• Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception.
Psychology, Cognition & Perception program (deadline: 1 December)
• Todd Gureckis - Memory, learning, and decision processes.
• David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention.
• Michael Landy - Computational approaches to vision.
• Laurence Maloney - Mathematical approaches to psychology and neuroscience.
• Gary Marcus - Origins of the human mind.
• Denis Pelli - Visual object recognition.
• Jonathan Winawer - Visual perception and memory.
Mathematics (deadline: 18 December )
• David Cai - Nonlinear stochastic behavior in physical and biological systems.
• David McLaughlin - Nonlinear wave equations, computational visual neuroscience.
• Aaditya Rangan - computational neurobiology, numerical analysis.
• Charles Peskin - Mathematical biology.
• Michael Shelley - Modeling and large-scale computation, computational visual neuroscience.
• Daniel Tranchina - Information processing in the retina.
• Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience.
Computer Science (deadline: 12 December)
• Davi Geiger - Computational vision and learning.
• Yann LeCun - machine learning, hierarchical visual processing, robotics.
Economics (deadline: 18 December)
• Andrew Caplin - Economic theory, neurobiology of decision.
• Andrew Schotter - Experimental economics, game theory, neurobiology of decision.
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