BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed)
This NIH BRAIN Initiative R01 funds development of computational theories, models, and methods for analyzing complex brain-circuit data, to be shared with the research community. Eligible applicant…
- Deadline
- Nov 8, 2027
- Posted
- Sep 16, 2025
- Award amount
- Amount not specified
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We’ll email you before Nov 8, 2027 so you have time to apply.
In plain English
This NIH BRAIN Initiative R01 funds development of computational theories, models, and methods for analyzing complex brain-circuit data, to be shared with the research community. Eligible applicants are research organizations, including faith- or community-based organizations, tribal governments, foreign organizations, and U.S. territories; it targets institutions rather than individuals. No award amount is specified. The work is narrowly scoped to neural-circuit tool building, so confirm fit before applying.
AI-generated summary to help you decide quickly — verify the official eligibility rules before applying.
Who can apply
Other Eligible Applicants include the following: Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; U.S. Territory or Possession.
About this grant
The Theories, Models and Methods (TMM) initiative will support the development of computational tools for understanding dynamic brain circuits that are made broadly accessible to the greater research community. This program supports applications focused on tool building and dissemination in the domain of theories about neural circuit mechanisms, models of circuit structure and function, and/or computational methods of analysis spanning across scales from neurons to behavior. The development of novel theories, computational models and methods for understanding brain function will help characterize fundamental principles of brain function and organization, characterize cellular and circuit-level neural computations over time in different regions, and understand how interactions of multiple brain circuits enable flexible behaviors and contribute to brain-wide neural dynamics. These tools will be critical for developing treatments such as closed loop systems for brain disorders including Parkinsons disease and major depressive disorder.
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