BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed)
Funding
Not specified
Deadline
--
Days
--
Hrs
--
Min
--
Sec
Nov 08, 2027
Posted Sep 16, 2025 (157 days ago)
Closes Nov 8, 2027 (in 625 days)
Grant Details
Opportunity Number
RFA-DA-27-004
CFDA / ALN
93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.372, 93.853, 93.865, 93.866, 93.867
Opportunity Category
Discretionary (D)
Funding Category
ED, HL, ISS
Funding Instrument
Grant (G)
Cost Sharing
No Cost Sharing (No)
Eligibility
State governments (00)
County governments (01)
City or township governments (02)
Special district governments (04)
Independent school districts (05)
Public and State controlled institutions of higher education (06)
Native American tribal governments (Federally recognized) (07)
Public housing authorities / Indian housing authorities (08)
Native American tribal organizations (11)
Nonprofits having a 501(c)(3) status with the IRS (12)
Nonprofits without 501(c)(3) status (13)
Private institutions of higher education (20)
For-profit organizations other than small businesses (22)
Small businesses (23)
Others (25)
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.
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 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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