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: 5T90DA060116-02, 5R90DA060340-02
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: 5T90DA032435-07, 5R90DA033463-07
Interdisciplinary Training in Computational Neuroscience
Awardee(s): Robert E. Kass
Institution: Carnegie Mellon University and University of Pittsburgh
Project Information: 5T90DA022762-12, 5R90DA023426-12
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: 5T90DA043219-02, 5R90DA043849-02
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: 5T90DA032436-07, 5R90DA033461-07