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.
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.
(Reissue of RFA-NS-18-014 and RFA-NS-21-014) This R34 FOA solicits applications that offer a limited scope of aims and an approach that will establish feasibility, validity, or other technically qualifying results that, if successful, would support, enable, and/or lay the groundwork for a potential, subsequent Targeted Brain Circuits Projects - TargetedBCP R01, as described in the companion FOA (RFA-NS-22-026). Applications should be exploratory research projects that use innovative, methodologically-integrated approaches to understand how circuit activity gives rise to mental experience and behavior.
(Reissue of RFA-NS-18-030) This FOA solicits applications for research projects that use innovative, methodologically-integrated approaches to understand how circuit activity gives rise to mental experience and behavior. The goal is to support projects that can realize a meaningful outcome within 5 years. Applications should address circuit function in the context of specific neural systems such as sensation, perception, attention, reasoning, intention, decision-making, emotion, navigation, communication or homeostasis. Projects should link theory and data analysis to experimental design and should produce predictive models as deliverables. Projects should aim to improve the understanding of circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating dynamic patterns of neural activity. Projects can use non-human and human species, and applications should explain how the selected species offers ideal conditions for revealing general principles about the circuit basis of a specific behavior.