RFA-NS-26-011
BRAIN Initiative: Integrative Team-Research BRAIN Circuits Program - iTeamBCP (RM1 Clinical Trial Optional)
Summary
NINDS-Led Integrative Systems Neuroscience Initiative
Research Focus
This multi-institute initiative seeks to understand how the nervous system generates mental experience and behavior by integrating analysis across biological scales. The program targets fundamental principles of central nervous system (CNS) function through theories and models that bridge cellular, circuit, and behavioral levels of organization. Research must connect three complementary analytical approaches: characterization of circuit components (cell types, connectivity patterns), in vivo CNS recordings at cellular resolution with sub-second temporal precision, and quantitative analysis of tractable behaviors or well-defined neural systems. Projects may develop novel tools and experimental approaches to overcome technical barriers. The emphasis is on identifying generalizable, multi-scale principles of CNS computation underlying neural function and behavior, with experimental systems chosen for their capacity to reveal integrative mechanisms.
At a Glance
- Who can apply: Teams of 3–6 PDs/PIs integrating expertise across molecular, cellular, systems, behavioral, computational, and theoretical neuroscience; engineering; data science; mathematics; physics; and statistics.
- Funding & project length: Not stated.
- Award mechanism: RM1 activity code.
- Key dates: NOFO not yet published; this is advance notice for collaboration planning.
- Best fit for: Systems and computational neuroscience researchers combining electrophysiology, circuit mapping, behavioral analysis, and quantitative modeling in model organisms or defined neural systems.
Key Facts
Deadline
—
Posted
Thu, August 28, 2025
Keywords
Research Areas
Gotchas (1)
Project must connect three specific levels of analysis (circuit components, in vivo recordings, behavior/neural system); failure to address all three could result in desk rejection
95%
Source Text
“Applications must connect these 3 levels of analysis: (1) rich large-scale information about circuit components (e.g., cell types, connectivity), (2) in vivo CNS recordings at cellular and sub-second and temporal resolution, (3) along with analyses of a tractable behavior of an organism or a well-defined neural system.”