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 (also in the FlatIron Institute) - NeuroAI and geometry.
* Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory.
* 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.
* 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 (also in the FlatIron Institute) - Computational vision and audition.
* Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits.
* Alex Williams (also in the FlatIron Institute) - 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 FlatIron Institute) - Neural computation and connectomics.
* Paul W. Glimcher - Decision-making in humans and animals.  Neuroeconomics.
* Biyu He - Large-scale brain dynamics underlying human cognition.
* Dima Rinberg - Olfaction, sensory information processing, perception.
* 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.
* Michael Landy - Computational approaches to vision.
* Laurence Maloney - Mathematical approaches to psychology and neuroscience.
* Marcelo Mattar - Learning and planning in the brain/mind. 
* Denis Pelli - Visual object recognition.
* Jonathan Winawer - Visual perception and memory.

Data Science (deadline: 5 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. 
* Brenden Lake (also in Psychology) - Computational modeling of cognition, deep learning. 
* Grace Lindsay (also in Psychology) - Machine learning models of the brain/mind.
* Mengye Ren (also in Computer Science) - Brain and cognitively inspired representation learning.

Mathematics (deadline: 18 December)
[https://gsas.nyu.edu/admissions/arc/programs/mathematics.html]
* 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.

Physics (deadline: 30 December)
[https://as.nyu.edu/physics/programs/graduate.html]
* Marc Gershow - Perception, decision-making, and learning in neural circuits.

Computer Science (deadline: 5 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.