Notice of Intent to Publish a Funding Opportunity Announcement for the Blueprint for Neuroscience Research: Training in Computational Neuroscience, From Biology to Model and Back Again (T90/R90)

Notice Number: NOT-DA-15-081

Key Dates
Release Date:  October 9, 2015
Estimated Publication Date of Announcement:  January 2016  
First Estimated Application Due Date:  March 2016 
Earliest Estimated Award Date:   July 2017
Earliest Estimated Start Date:   August 2017

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The NIH Blueprint for Neuroscience Research intends to reissue a Funding Opportunity Announcement (FOA) for the “Training in Computational Neuroscience: From Biology to Model and Back Again (T90/R90)” (RFA-DA-11-005).

This Notice is being provided to allow potential applicants sufficient time to develop meaningful training program collaborations that will link research training and research education for responsive applications. 

The FOA is expected to be published by the end of Winter 2016 with an anticipated application due date in Spring 2016. Awards will provide up to 5 years of support.

The reissued FOA is expected to be largely similar to the previous versions. Known changes consist of revised instructions to reflect policy changes recommended by the Biomedical Workforce Working Group of the Advisory Committee to the Director, NIH, as well as instructions regarding changes to SF 424 application forms.

This FOA will utilize the T90/R90 activity code. Brief details of the planned FOA are provided below. Full details will be available in the reissued FOA.

Research Initiative Details

The purpose of this FOA is to establish new research training and research education programs in computational neuroscience, and to support the continuation of meritorious existing programs, for undergraduate and predoctoral level students. It is intended that programs will provide research training and research education in both experimental neuroscience and in the theories and principles of the physical, computer, mathematical, or engineering sciences that are necessary to develop models, test them experimentally, and use experimental data to refine the models of normal or disordered neural systems or processes. Programs are further expected to stimulate interactions among training faculty from multiple disciplines and departments and to foster development of an integrated curriculum in computational neuroscience at the applicant institution.

Training in computational neuroscience at the undergraduate level is optimal for establishing a “pipeline” of computational neuroscientists by attracting students in the quantitative sciences to apply these disciplines to neuroscience research questions early in their careers, and conversely, for undergraduates in the biological or behavioral sciences to acquire sufficient education in the quantitative sciences to pursue research using computational neuroscience methods.

An institutional predoctoral program for full-time research training to support graduate students enrolled in a relevant doctoral degree program is also expected. The predoctoral research training component must include NRSA eligible trainees and may also include non-NRSA eligible predoctoral participants (students). Trainees must have the opportunity to carry out supervised research training in computational neuroscience. The primary objective of this program must be to develop the students’ research skills and knowledge in preparation for a research career in computational neuroscience.



Please direct all inquiries to:

Mimi Ghim, PhD 
National Institute on Drug Abuse (NIDA) 
Telephone: 301-402-1918

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