Opportunity

Simpler Grants.gov #RFA-NS-25-018

NIH BRAIN Initiative Grant for New Neural Recording and Modulation Technologies

Buyer

National Institutes of Health

Posted

September 24, 2024

Respond By

June 16, 2026

Identifier

RFA-NS-25-018

NAICS

541715, 541714, 334510

This opportunity from the National Institutes of Health (NIH) seeks innovative proposals for the BRAIN Initiative, focusing on new technologies for neural recording and modulation: - Government Buyer: - National Institutes of Health (NIH) - Products/Services Requested: - Proof-of-concept testing and development of technologies for recording and modulating neural activity in the central nervous system - Includes instrumentation hardware, devices, software, and molecular constructs - Modalities may include optical, electrical, magnetic, or acoustic methods - Unique/Notable Requirements: - Technologies must be validated in vivo in behaving animals - Solutions should address major challenges in neurobiological research - Integration of multiple scientific domains is encouraged - Emphasis on transformative, high-risk research without the need for preliminary feasibility data - Broad eligibility: businesses, government, nonprofits, educational institutions - No specific OEMs or vendors are named; applicants may propose their own solutions

Description

This Notice of Funding Opportunity (NOFO) seeks applications for proof-of-concept testing and development of new technologies and novel approaches for recording and modulation of neural cells and circuits to address major challenges and enable transformative understanding of dynamic signaling in the central nervous system. Proposed research may be high-risk and does not require preliminary feasibility data. Applications may propose development of instrumentation hardware, devices, software, and molecular constructs for sensing and manipulating neural activity using various modalities such as optical, electrical, magnetic, or acoustic methods. The technologies should reduce barriers to neurobiological experiments, be compatible with in vivo validation in behaving animals, and contribute to an ecosystem of technologies spanning multiple spatial and temporal scales throughout the CNS.

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