Training in Computational Neuroscience

The NIH Blueprint for Neuroscience Research is strongly committed to supporting neuroscience trainees at all stages. Through its “Training in Computational Neuroscience” initiative, Blueprint supports research training programs that provide interdisciplinary training in experimental neuroscience at the undergraduate and predoctoral level. 

Current Program

NIH Blueprint for Neuroscience Research: Computational Training in Neuroscience and Behavior (T90/R90)

Four training programs are currently funded by NIH Blueprint in the area of computational neuroscience and behavior (RFA-DA-23-037). These training programs will expose undergraduate and graduate students to a wide range of neuroscience and behavioral questions, quantitative methods, and experimental systems to ensure a strong dual foundation in clinical and quantitative science. This foundation is expected to give trainees the ability to adopt new computational theory and methodology and apply these methods to relevant questions in health and disease.

Funded Projects

Project Title: Undergraduate and Graduate Training in Computational Neuroscience and Data Analysis

Awardee(s): Paul Miller and Eve Marder

Institution: Brandeis University

Project Information: 5T90DA059112-02, 5R90DA060341-02

Project Title: Interdisciplinary Training in Computational Neuroscience

Awardee(s): Steven M. Chase and Gelsy Torres-Oviedo 

Institution: Carnegie Mellon University

Project Information: 5T90DA060116-025R90DA060340-02

Project Title: Training in Theory and Computation for Next Generation Neuroscientists

Awardee(s): Brent D. Doiron, Jason Neil Maclean, and Stephanie Palmer

Institution: University of Chicago

Project Information: 5T90DA059109-02, 5R90DA060338-02

Project Title: Training program in computational approaches to brain and behavior

Awardee(s): Wei Ji Ma

Institution: New York University

Project Information: 5T90DA059110-02, 5R90DA060339-02 

Past Program

NIH Blueprint Training in Computational Neuroscience: From Biology to Model and Back Again (T90/R90)

Four training programs have been funded by NIH Blueprint for 2011-2016 in the area of computational neuroscience (RFA-DA-16-009). These programs provide training in both experimental neuroscience and in the theories and principles of the physical, computer, mathematical, or engineering sciences that are necessary to develop models and test them experimentally. The programs have both undergraduate and pre-doctoral components, and optional summer courses. By targeting undergraduates, these programs encourage students in quantitative sciences to pursue neuroscience research early in their careers, and conversely, encourage students in the biological or behavioral sciences to become educated in quantitative sciences and computational neuroscience methods.

Funded Projects 

Undergraduate and Graduate Training in Computational Neuroscience

Awardee(s): Eve Marder and Paul Miller

Institution: Brandeis University

Project Information: 5T90DA032435-075R90DA033463-07 

Interdisciplinary Training in Computational Neuroscience

Awardee(s): Robert E. Kass

Institution: Carnegie Mellon University and University of Pittsburgh

Project Information: 5T90DA022762-125R90DA023426-12

Training a new generation of computational neuroscientists bridging neurobiology and cognition

Awardee(s): Xiao-Jing Wang and Wei Ji Ma

Institution: New York University

Project Information: 5T90DA043219-025R90DA043849-02

Undergraduate and graduate training in neural computation and engineering

Awardee(s): Adrienne L. Fairhall and Eric Todd Shea-Brown

Institution: University of Washington

Project Information: 5T90DA032436-075R90DA033461-07