This grant supports transdisciplinary research to develop advanced tools and models for high-resolution, minimally intrusive measurement and analysis of complex organismal behavior synchronized with neural activity in real-world environments.
Funder: National Institutes of Health
Due Dates (Anticipated): October 2026 (Full application deadline, projected)
Funding Amounts: Estimated total program funding: $8,000,000; ~10 awards anticipated; award size/duration not specified
Summary: Supports transformative, transdisciplinary research developing tools and models for high-resolution, multimodal tracking and analysis of organismal behavior synchronously with neural activity.
Key Information: Participation in consortium activities is required; opportunity is forecasted and dates are projected.
This opportunity, under the NIH BRAIN Initiative's Brain-Behavior Quantification and Synchronization (BBQS) Program, aims to accelerate the development and dissemination of innovative neurotechnologies and analytic frameworks for studying brain function and behavior at the organismal level. The program specifically supports transdisciplinary research projects that advance methods and tools for minimally intrusive, high-resolution, synchronous measurement of multiple biobehavioral functions (such as movement, peripheral physiology, and neural activity) alongside environmental variables. Projects are expected to develop new theoretical and computational models to understand neurobehavioral function as a complex, dynamic system shaped by the organism's environment. Participation in consortium activities is a requirement for awardees.