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)
[https://neuroscience.nyu.edu/program.html, and https://as.nyu.edu/cns/DoctoralProgram.html]
* SueYeon Chung (starting Sep 2022) - NeuroAI and geometry.
* Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory.
* Paul W. Glimcher - Decision-making in humans and animals.  Neuroeconomics.
* David Heeger (also in Psychology) - Computational neuroscience, vision, attention.
* 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.
* Alex Williams (starting Jan 2022) - Statistical analysis of neural data.

Neuroscience Institute, School of Medicine (deadline: 1 December)
[https://neuroscience.nyu.edu/program.html,  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.
* Biyu He - Large-scale brain dynamics underlying human cognition.
* Dmitry Rinberg - Sensory information processing in the behaving animal.
* Shy Shoham - Methods for controlling, imaging, and analyzing neural systems.
* 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.
* Brendan Lake (also in the Center for Data Science) - Computational modeling of cognition, deep learning.
* Michael Landy - Computational approaches to vision.
* Laurence Maloney - Mathematical approaches to psychology and neuroscience.
* Denis Pelli - Visual object recognition.
* Jonathan Winawer - Visual perception and memory.

Mathematics (deadline: 4 January)
[http://math.nyu.edu/degree/phd/]
* David McLaughlin - Nonlinear wave equations, computational visual neuroscience.
* Aaditya Rangan -  Computational neurobiology, numerical analysis.
* Charles Peskin - Mathematical biology.
* Daniel Tranchina - Information processing in the retina.
* Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience.

Data Science (deadline: 12 December) 
[https://cds.nyu.edu/phd-program/]
* Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. 
* Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. 
* Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. 

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