NIH Highlighted Topic: Computational Approaches in Fundamental Neuroscience
Below is a brief summary. Please check the full solicitation before applying (link in resources section).
Executive Summary:
The National Institutes of Health (NIH) is encouraging innovative research proposals that integrate computational approaches into fundamental neuroscience research to better understand the molecular, cellular, and circuit-level mechanisms underlying brain function, aging, neurological disease, and mental health. This highlighted topic supports rigorous, hypothesis-driven multidisciplinary research combining advanced computational modeling, artificial intelligence (AI), machine learning (ML), and high-resolution experimental neuroscience techniques.
NIH is particularly interested in projects that model complex spatiotemporal interactions between receptors, ion channels, enzymes, signaling pathways, neurons, glia, and neural circuits across biological scales. Companies developing AI-enabled neuroscience platforms, computational biology software, neural simulation systems, neuroinformatics tools, predictive drug discovery technologies, or open-source analytical platforms may be strong candidates for funding.
Areas of interest include computational neuroscience, multiscale biological modeling, synaptic plasticity analysis, protein structure-function prediction, neural circuit mapping, brain aging research, Alzheimer’s disease modeling, neuropharmacology, substance use disorder research, and computational therapeutics development. NIH is also encouraging the development of advanced open-source tools and interdisciplinary collaborations between computational scientists and experimental neuroscientists.
Funding is available through the NIH SBIR/STTR Program, which currently provides up to approximately $323,090 for Phase I projects and up to $2,153,927 for Phase II projects, with opportunities for follow-on funding and commercialization support depending on the project scope and impact.
This highlighted topic is supported by multiple NIH Institutes and Centers including the National Institute of Mental Health (NIMH), National Institute on Aging (NIA), National Institute on Drug Abuse (NIDA), National Center for Complementary and Integrative Health (NCCIH), National Eye Institute (NEI), and the Office of Research on Women’s Health (ORWH), all of which are seeking transformative innovations that advance computational neuroscience, AI-enabled therapeutics, and mechanistic brain research.
How much funding would I receive?
Awards provide up to $323,090 for Phase I projects (up to 2 years) and $2,153,927 for Phase II projects (up to 3 years). Some topics approved by NIH may exceed these limits. Fast-Track and Phase IIB (follow-on) options allow continuous or extended funding beyond Phase II.
What could I use the funding for?
Funding may support the research, development, validation, and commercialization of computational neuroscience technologies, AI platforms, analytical software, predictive models, and neuroinformatics tools.
Eligible activities may include:
AI and machine learning platforms for neuroscience research
Computational modeling of neural circuits and cellular processes
Protein structure-function prediction and molecular pathway analysis
Neural simulation and multiscale biological modeling systems
Predictive analytics for neurological disease progression
Computational drug discovery and virtual compound screening
Neuroinformatics and large-scale brain data integration platforms
Synaptic transmission and plasticity modeling technologies
Brain aging and Alzheimer’s disease computational research tools
Substance use disorder (SUD) predictive modeling and therapeutic discovery
Advanced imaging analytics and neural signal processing platforms
Open-source neuroscience analytical tool development
Multimodal data integration systems across spatial and temporal scales
AI-enabled pharmacokinetic, ADME, and drug interaction prediction tools
Precision neuroscience platforms supporting diagnostics and therapeutics
Experimental-computational integrated neuroscience research systems
Prototype development, validation studies, and translational research
Commercialization planning and regulatory preparation activities
Funding may also support personnel, cloud computing infrastructure, software engineering, AI model development, computational biology research, laboratory validation studies, data acquisition, bioinformatics pipelines, intellectual property protection, and commercialization activities necessary to advance a scalable and commercially viable neuroscience or health technology solution aligned with NIH priorities.
Are there any additional benefits I would receive?
Beyond the formal funding award, awardees gain several strategic advantages:
Government Validation and Credibility:
Being selected for an NIH-backed SBIR grant signals technical excellence and alignment with national health and biomedical priorities. This validation builds investor and partner confidence.Enhanced Visibility and Market Recognition:
Awardees are featured in NIH and HHS announcements, helping attract partnerships, media attention, and future contracting opportunities.Access to the Federal Innovation Ecosystem:
Recipients join a national network of researchers and agencies advancing life science innovation, often opening doors to collaborations with NIH laboratories and federal health programs.Stronger Commercial and Exit Potential:
By maturing technology through nondilutive funding, companies strengthen valuation, de-risk commercialization, and increase attractiveness for acquisition or follow-on private investment.
What is the timeline to apply and when would I receive funding?
Applications are accepted each year on January 5th, April 5th, and September 5th. Funding is received approximately 9 months after submission.
Where does this funding come from?
Funding comes from the U.S. Department of Health and Human Services, with statutory set-asides requiring NIH, CDC, and FDA to devote portions of their extramural R&D budgets (3.2% for SBIR, 0.45% for STTR) to support small business innovation.
Who is eligible to apply?
Applicants must be U.S. small business concerns (SBCs) that:
Are organized for profit with a U.S. place of business.
Have ≤ 500 employees including affiliates.
Are > 50% owned by U.S. citizens or permanent residents, qualifying U.S. entities, or combinations thereof.
What companies and projects are likely to win?
Projects that demonstrate:
A clear unmet medical or public-health need,
Strong scientific rationale and feasibility,
High commercialization potential, supported by a realistic market and regulatory strategy, and
Alignment with an NIH Institute’s or CDC/FDA Center’s specific research mission (e.g., infectious disease, digital health, diagnostics, therapeutics, or data analytics).
Competitive applicants often have an early prototype, preliminary data, and a defined path to market adoption.
Are there any restrictions I should know about?
Companies must complete multiple federal registrations (SAM.gov, Grants.gov, eRA Commons, SBA Company Registry) before applying.
Foreign entities are not eligible.
Disclosure of foreign affiliations and compliance with national security screening are mandatory. Currently we do not recommend any sort of foreign affiliation.
How long will it take me to prepare an application?
For a first-time applicant, preparing a competitive submission will likely take 120–200 hours in total.
How can BW&CO help?
Our team specializes in complex federal R&D proposals and can:
Triple your likelihood of success through proven strategy and insider-aligned proposal development
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Ensure you are targeting the best opportunity for your project and positioning your company for long-term growth.
