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.

Title
Release Date
Expiration Date
Funding Opportunity #
BRAIN Initiative: Research Opportunities Using Invasive Neural Recording and Stimulating Technologies in the Human Brain (U01 Basic Experimental Studies with Humans Required)
September 22 , 2024

This FOA will support integrated, interdisciplinary research teams that focus on examining dynamic circuit functions related to behavior, using advanced and innovative technologies. The FOA will support programs with a necessarily-synergistic, team science approach. Awards will be made for 5 years, with a possibility of one competing renewal. Applications should focus on overarching principles of circuit function in the context of specific neural systems underlying sensation, perception, emotion, motivation, cognition, decision-making, motor control, communication, or homeostasis. Applications should aim to understand these circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Applications are expected to employ approaches and experimental design guided by specified theoretical constructs, are encouraged to employ quantitative, mechanistic and predictive models where appropriate. Model systems, including the possibility of multiple species ranging from invertebrates to humans, can be employed and should be appropriately justified. Programs should employ multi-component teams of research expertise including neurobiologists, statisticians, physicists, mathematicians, engineers, computer scientists, and data scientists, as appropriate - that seek to cross boundaries of interdisciplinary collaboration. Applications will be required to manage their data and analysis methods in a framework that will be developed and used in the proposed U19 project and exchanged with other BRAIN U19 awardees for further refinement and development.

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