Supporting a strong research foundation through training programs in computational neuroscience

Through its “Training in Computational Neuroscience” initiative, NIH Blueprint for Neuroscience Research supports research training programs that provide interdisciplinary training in experimental neuroscience at the undergraduate and predoctoral level.?Since 2011, eight training programs at five institutions were funded through two funding opportunities:

• RFA-DA-23-037 NIH Blueprint for Neuroscience Research: Computational Training in Neuroscience and Behavior (T90/R90) – Four training programs are currently funded through this funding opportunity. 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.
• RFA-DA-16-009 NIH Blueprint Training in Computational Neuroscience: From Biology to Model and Back Again (T90/R90) – From 2011-2016, NIH Blueprint funded four training programs in computational neuroscience for undergraduates and pre-doctoral students. 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.

To date, over 215 publications have resulted from this impactful initiative. These publications have over 6000 citations and counting!

For more information on this initiative, as well as other past and present NIH Blueprint-sponsored training programs, please visit the NIH Blueprint website: Training in Computational Neuroscience | Blueprint #NIHBlueprint20