BRAIN Initiative: Optimization of Instrumentation and Device Technologies for Recording and Modulation in the Nervous System (U01 Clinical Trials Not Allowed)

US Dept. of Health & Human Services: National Institutes of Health (NIH)

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Next deadline: Aug 1, 2024 (Letter of inquiry)

Later deadlines: Oct 1, 2024 (Full proposal), Apr 2, 2025 (Letter of inquiry), Jun 2, 2025 (Full proposal), Nov 20, 2025 (Letter of inquiry), Jan 20, 2026 (Full proposal)

Grant amount: Unspecified amount

Fields of work: Neuroscience

Applicant type: Nonprofit, Government Entity, Indigenous Group, For-Profit Business

Funding uses: Research

Location of project: Anywhere in the world

Location of residency: Anywhere in the world

Overview:

NOTE: All applications are due by 5:00 PM local time of applicant organization. 


Reissue of RFA-NS-18-019: Understanding the dynamic activity of neural circuits is central to the NIH BRAIN Initiative. The invention, proof-of-concept investigation, and optimization of new technologies through iterative feedback from end users are key components of the BRAIN Initiative. This FOA seeks applications to optimize existing or emerging technologies through iterative testing with end users. The technologies and approaches should have potential to address major challenges associated with recording and modulation (including various modalities for stimulation/activation, inhibition and manipulation) of cells (i.e., neuronal and non-neuronal) and networks to enable transformative understanding of dynamic signaling in the central nervous system (CNS). These technologies and approaches should have previously demonstrated their transformative potential through initial proof-of-concept testing and are now ready for accelerated refinement. In conjunction, the manufacturing techniques should be scalable towards sustainable, broad dissemination and user-friendly incorporation into regular neuroscience research.Proposed technologies should be compatible with experiments in behaving animals, validated under in vivo experimental conditions, and capable of reducing major barriers to conducting neurobiological experiments and making new discoveries about the CNS. Technologies may engage diverse types of signaling beyond neuronal electrical activity such as optical, electrical, magnetic, acoustic or genetic recording/manipulation. Applications that seek to integrate multiple approaches are encouraged. If suitable, applications are expected to integrate appropriate domains of expertise, including biological, chemical and physical sciences, engineering, computational modeling and statistical analysis.

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US Dept. of Health & Human Services: National Institutes of Health (NIH)
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This page was last reviewed March 20, 2023 and last updated March 20, 2023