BRAIN Initiative: Integrative Team-Research BRAIN Circuits Program - iBCP (RM1 Clinical Trial Not Allowed)
National Institute of Neurological Disorders and Stroke (NINDS) · NIH Institute/Center · RFA-NS-27-002
Source: Grants.gov · View original posting ↗
- AwardWhat a single award can be worth — the funder's published per-award amount or floor–ceiling range.
- Up to $8M
- DeadlineFinal application due date.
- Jun 23, 2028
- 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, …).
- —
- DurationMaximum project period for a single award.
- —
- Expected awardsHow many awards the funder anticipates making under this opportunity.
- 5
- Funding cycleHow often the program accepts applications (annual, multiple cycles per year, rolling, or one-time).
- One-time
- Open dateWhen applications open (or opened).
- Aug 31, 2026
- Total fundingThe overall pool the funder expects to commit across ALL awards under this opportunity — not what one project receives.
- $1M total
- Clinical trialWhether proposed projects must, may, or must not include a clinical trial.
- Not allowed
Research areas
Auto-classified from the title and description (keyword-based) — may be imperfect.
Description
This Notice of Funding Opportunity (NOFO) supports transdisciplinary research teams seeking to develop mechanistic, biologically grounded explanations of how neural circuits and their cellular building blocks give rise to central nervous system (CNS) function. Teams must integrate expertise spanning molecular and cellular through systems neuroscience, with strong collaboration between experimental and computational investigators, to bridge cells, circuits, and behavior in a unified framework that yields mechanistic insight.Applications must explicitly connect three core elements: (1) characterization of circuit components (e.g., cell types and/or connectivity); (2) measurement of dynamic circuit activity, incorporating in vivo CNS recordings at cellular and sub-second temporal resolution; and (3) analyses of a tractable behavior or functional output.To address this significant challenge in neuroscience, proposed studies are expected to leverage innovative conceptual or theoretical frameworks, predictive models, and/or cutting-edge approaches that unify these three levels of analysis and bridge experimental and computational components.Recipients are expected to participate in BRAIN consortia activities to identify standards of practice towards multi-level integration.