BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed) | RFA EB 17 005

Opportunity Information: Apply for RFA EB 17 005

The National Institutes of Health (NIH) funding opportunity titled "BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed)" (Funding Opportunity Number RFA-EB-17-005) supports research projects that aim to create new ways of making sense of large, complicated neuroscience datasets. The central goal is to develop theories, computational models, and mathematical or statistical methods that can turn complex recordings of brain activity into clearer explanations of how the brain works. This is positioned within the broader BRAIN Initiative, which emphasizes not just collecting increasingly rich neural data, but also building the analytic foundations needed to interpret that data and extract general principles of brain function.

The FOA is focused on tool and framework development rather than primarily on discovery through extensive new experimentation. NIH is looking for projects that introduce genuinely new conceptual or quantitative approaches. Examples of responsive work include developing new theoretical frameworks that organize and unify diverse brain datasets, proposing computational models that generate testable hypotheses and can guide the design of future experiments, and creating new statistical or mathematical techniques that can evaluate specific hypotheses about brain function. Another explicitly encouraged direction is the development of methods that can detect dynamical features, patterns, and structure in complex brain data, such as time-varying neural states or population-level activity motifs that might be missed by standard analyses. The common thread is that proposed innovations should enable stronger inference from modern neuroscience data streams, which often involve high dimensionality, nonlinear dynamics, noise, and multi-scale structure.

A key expectation is that the tools produced with this support will be made broadly available to the neuroscience community for use and modification. In practical terms, this typically implies that software, algorithms, codebases, workflows, documentation, or other deliverables should be shared in a way that other researchers can readily adopt, validate, and extend. The emphasis on community availability aligns with the BRAIN Initiative's general push toward open, reusable analytic infrastructure, so applicants should be prepared to describe dissemination plans, usability considerations, and how other groups could realistically integrate the methods into their own research pipelines.

The FOA also sets a boundary on what types of studies should be included. Investigative work is expected to be limited to validity testing of the tools being developed, meaning experiments and analyses should primarily demonstrate that the new theory/model/method does what it claims, performs appropriately, and can be trusted under relevant conditions. The intent is not to fund large, tool-adjacent biological discovery projects where the method is secondary; instead, the method development itself is the main contribution, and empirical work should serve to validate and characterize the tool's capabilities and limitations.

This opportunity uses the NIH R01 grant mechanism and explicitly states "Clinical Trial Not Allowed," indicating that applications should not propose clinical trials as defined by NIH policy. The Opportunity Category is discretionary, the Funding Instrument Type is a grant, and the Funding Activity Category is listed under Education, Health, Income Security and Social Services, reflecting the federal categorization used in listings rather than limiting the scientific scope.

Eligibility is broad and includes many types of domestic applicants: state, county, and local governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments; Native American tribal organizations other than federally recognized tribal governments; public housing authorities and Indian housing authorities; nonprofit organizations with and without 501(c)(3) status (other than institutions of higher education); for-profit organizations other than small businesses; and small businesses. In addition, the announcement explicitly highlights other eligible applicants such as Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), eligible agencies of the federal government, faith-based or community-based organizations, regional organizations, U.S. territories or possessions, and even non-domestic (non-U.S.) entities (foreign organizations). This wide eligibility reflects NIH's interest in attracting strong interdisciplinary teams across neuroscience, statistics, applied mathematics, computer science, engineering, and related fields, regardless of institution type.

The opportunity was created on 2017-10-12, and the original closing date listed is 2019-09-03. The listing provides CFDA numbers associated with several NIH programs (93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.853, 93.865), which indicates the administrative program areas that could be tied to the award. The award ceiling and expected number of awards are not specified in the provided source data, suggesting applicants would need to consult the full FOA text for budget guidance, scope expectations by year, and any institute-specific interests.

In plain terms, this FOA is meant for researchers who want to build the next generation of analytic foundations for neuroscience: new theoretical lenses to interpret brain activity, new computational models that can be used to generate and test hypotheses, and new statistical or mathematical tools that can uncover structure in messy, high-dimensional neural data. Success under this program is likely to hinge on demonstrating conceptual novelty, strong technical rigor, clear validation plans, and a credible path for broad community adoption of the resulting methods.

• The National Institutes of Health in the education, health, income security and social services sector is offering a public funding opportunity titled "BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed)" and is now available to receive applicants.
• Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.853, 93.865.
• This funding opportunity was created on 2017-10-12.
• Applicants must submit their applications by 2019-09-03. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
• Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.

Apply for RFA EB 17 005

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