BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed)
National Institute on Drug Abuse (NIDA) · NIH Institute/Center · RFA-DA-27-004
Source: Grants.gov · View original posting ↗
- AwardWhat a single award can be worth — the funder's published per-award amount or floor–ceiling range.
- Amount not listed
- DeadlineFinal application due date.
- Nov 8, 2027
- Letter of intentDue date for the letter of intent (a short pre-application some funders require or request before the full proposal).
- —
- MechanismNIH activity code — the grant type (R01 research project, R21 exploratory, K series career development, F series fellowship, …).
- R01
- DurationMaximum project period for a single award.
- —
- Expected awardsHow many awards the funder anticipates making under this opportunity.
- —
- Funding cycleHow often the program accepts applications (annual, multiple cycles per year, rolling, or one-time).
- One-time
- Open dateWhen applications open (or opened).
- Sep 16, 2025
- Total fundingThe overall pool the funder expects to commit across ALL awards under this opportunity — not what one project receives.
- —
- Clinical trialWhether proposed projects must, may, or must not include a clinical trial.
- Not allowed
Funding context
Based on FY2025 NIDA R01 applications (135 of 1,146 applications awarded).
Payline: NIH discontinued percentile paylines for 2026 under its Unified Funding Strategy ↗ — scores are now weighed in context rather than against a fixed cutoff.
NIDA R01, FY2025 — atypical NIH funding year (multi-year upfront funding / rescinded paylines); NIH reports FY2025 success rates as not comparable to prior years.
Aggregate historical data by institute, mechanism, and fiscal year — context for planning, not a prediction for this opportunity. Source ↗
Research areas
Auto-classified from the title and description (keyword-based) — may be imperfect.
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.
Data notes: award amount not published in the source feed.