BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain
This upcoming NIH BRAIN Initiative grant will fund development and sharing of computational theories, models, and analysis methods to better understand complex brain circuit data.
Funder: National Institutes of Health (NIH)
Due Dates: October 28, 2025 | October 6, 2026 | October 6, 2027 (final: November 8, 2027)
Funding Amounts: Budgets are not limited but are expected to range from $150,000 to $350,000 direct costs/year for up to 3 years; ~$6M/year total program funding for up to 15 awards annually.
Summary: Supports development and dissemination of innovative theories, models, and computational methods for analyzing complex, large-scale brain data to advance understanding of brain function across multiple scales.
Key Information: Clinical trials are not allowed; strong emphasis on tool dissemination and end-user collaboration.
Description
This funding opportunity supports the development of novel computational tools, theories, models, and methods to analyze and interpret large-scale, complex data from the brain. The aim is to advance quantitative and predictive understanding of brain function, from neural circuits to behavior, and to make these tools broadly accessible to the neuroscience community. Successful projects are expected to focus on building and validating new analytical tools, frameworks, or models that can handle diverse, high-dimensional datasets and provide insights into brain mechanisms, organization, and dynamics. The initiative is part of the BRAIN Initiative’s broader goal to revolutionize understanding of brain function and inform new treatments for brain disorders.
