BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain
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
| Agency | National Institutes of Health |
|---|---|
| Status | Posted |
| Opportunity number | RFA-DA-27-004 |
| Posted date | 09/16/2025 |
| Application deadline | Nov 08, 2027 12:00:00 AM EST |
| Award ceiling | none |
| Award floor | none |
| 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. |
| Assistance Listing (CFDA) | 93.213, 93.867, 93.853, 93.866, 93.242, 93.273, 93.279, 93.286, 93.372, 93.173, 93.865 |
| Description | 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 b |
| Agency contact | grantsinfo@nih.gov |
| Official listing | https://www.grants.gov/search-results-detail/359068 |