A central goal of the BRAIN Initiative is to develop new and improved perturbation technologies suitable for controlling specified cell types and circuits to modulate function in the central nervous system. This FOA seeks applications to systematically characterize, model, and validate the membrane, cellular, circuit, and adaptive-biological responses of neuronal and non-neuronal cells to various types of stimulation. Development of new technologies and therapies, as well as of disease models are outside the scope of this FOA. However, activities related to combining multiple recording modalities are allowed. As part of this program, investigators will be required to participate in a consortium to develop standards and model systems for the evaluation of current and next generation neuromodulation technologies.
Notices of Funding Opportunities
National Institutes of Health (NIH) BRAIN Initiative notices of funding opportunities (NOFOs), requests for applications (RFAs), program announcements (PAs), and other NIH Guide announcements are listed below. Search this page to find all notices of special interest (NOSI). Search the Closed Opportunities page to find expired opportunities.
Learn more about NIH’s grant mechanisms.
Learn about the Plan for Enhancing Diverse Perspectives (PEDP), a required component in most BRAIN applications.
Learn about the NIH Data Management and Sharing Policy, which all NIH applications must follow.
To see more NIH-funded awards, please visit NIH Grants and Funding.
For more about NIH BRAIN Initiative research and associated funding opportunities, visit the Research Overview.
The purpose of The BRAIN Initiative® Fellows (F32) program is to enhance the research training of promising postdoctorates, early in their postdoctoral training period, who have the potential to become productive investigators in research areas that will advance the goals of The BRAIN Initiative®. Applications are encouraged in any research area that is aligned with The BRAIN Initiative®, including neuroethics. Applicants are expected to propose research training in an area that clearly complements their predoctoral research. Formal training in analytical tools appropriate for the proposed research is expected to be an integral component of the research training plan. In order to maximize the training potential of the F32 award, this program encourages applications from individuals who have not yet completed their terminal doctoral degree and who expect to do so within 12 months of the application due date. On the application due date, candidates may not have completed more than 12 months of postdoctoral training. This Funding Opportunity Announcement (FOA) does not allow applicants to propose to lead an independent clinical trial, but does allow applicants to propose research experience in a clinical trial led by a sponsor or co-sponsor.
--- Notice to change the Application Due Dates on BRAIN Initiative - NOT-EB-18-005 - https://grants.nih.gov/grants/guide/notice-files/NOT-EB-18-005.html --- This FOA solicits new theories, computational models, and statistical tools to derive understanding of brain function from complex neuroscience data. Proposed tools could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting dynamical features and patterns in complex brain data. It is expected that the tools developed under this FOA will be made widely available to the neuroscience research community for their use and modification. Investigative studies should be limited to validity testing of the tools being developed.
This funding opportunity announcement (FOA), in support of the NIH Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative, aims to support early stage development of entirely new and novel noninvasive human brain imaging technologies and methods that will lead to transformative advances in our understanding of the human brain. The FOA solicits unusually bold and potentially transformative approaches and supports small-scale, proof-of-concept development based on exceptionally innovative, original and/or unconventional concepts.
This funding opportunity announcement (FOA), in support of the NIH Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative, aims to support full development of entirely new or next generation noninvasive human brain imaging tools and methods that will lead to transformative advances in our understanding of the human brain. The FOA seeks innovative applications that are ready for full-scale development of breakthrough technologies with the intention of delivering working tools within the timeframe of The BRAIN Initiative® (“BRAIN 2025: A Scientific Vision,” http://braininitiative.nih.gov/). This FOA represents the second stage of the tool/technology development effort that started with RFA-MH-14-217 and RFA-MH-15-200.
The purpose of this Funding Opportunity Announcement [FOA] submitted through the Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative is to stimulate the development and validation of novel tools and analytical methods to target, identify and characterize non-neuronal cells in the brain. This FOA complements previous and ongoing cell-census and tool development efforts initiated under BRAIN, RFA-MH-14-215 and RFA-MH-14-216, that have focused almost exclusively on neuronal cells. The cutting-edge tools and methods developed under this opportunity should focus specifically on providing improved points of entry into non-neuronal cell-types (glial and vascular) to enable their inventory and characterization within the CNS and help define how these cells interact among each other and with neuronal cells to impact functional circuitries. Plans for validating the utility of the tool/technology/method and demonstrating its advantage over currently available approaches will be an essential feature of a successful application. Tools that can be used in several species or model organisms rather than in a single species are especially desirable.