Connectionists: Doctoral studies in Computational/Theoretical Neuroscience at NYU

[Eero Simoncelli]

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 scientific study of the brain.

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), Graduate School of Arts & Sciences (deadline: 1 December)
  [http://neuroscience.nyu.edu/graduate-programs/, and http://www.cns.nyu.edu/doctoral/]
* Andre A. Fenton - Molecular, neural, behavioral, and computational aspects 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.
* Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning.
* 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 Institute, School of Medicine (deadline: 1 December)
  [http://neuroscience.nyu.edu/graduate-programs/, and https://med.nyu.edu/departments-institutes/neuroscience/]
* Gyorgy Buzsaki - Rhythms in neural networks.
* Dmitri Chklovskii (also in the Simons Foundation)  - Neural computation and connectomics.
* 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)
  [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html]
* Todd Gureckis - Memory, learning, and decision processes.
* David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention.
* Brendan Lake (also in the Center for Data Science) - Computational modeling of cognition.
* 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)
  [http://math.nyu.edu/degree/phd/]
* 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.

Center for Data Science (deadline: 12 December)
  [https://cds.nyu.edu/academics/phd-in-data-science/]
b" Joan Bruna (also in Computer Science) - machine learning, signal/image processing.
b" Kyungyun Cho (also in Computer Science) - machine learning, natural language processing.
b" Carlos Fernandez-Granda (also in Mathematics) - optimization methods for medical imaging, neuroscience, computer vision.
* Brenden Lake - Computational modeling of cognition, deep learning.

Physics (deadline: 18 December)
  [http://physics.as.nyu.edu/page/graduate]
* Marc Gershow - Perception, decision-making, and learning in neural circuits.

Computer Science (deadline: 12 December)
  [http://www.cs.nyu.edu/home/phd/]
* Davi Geiger - Computational vision and learning.
* Yann LeCun - machine learning, computer vision, robotics, computational neuroscience.

Economics (deadline: 18 December)
  [http://as.nyu.edu/econ/degree-programs/phd.html]
* Andrew Caplin - Economic theory, neurobiology of decision.
* Andrew Schotter - Experimental economics, game theory, neurobiology of decision.