Neuroscience Grants and Funding

BRAIN issues new funding opportunity for the development of cutting-edge tools to understand the neural basis of behavior in humans

This funding opportunity, with the next due date of February 17, 2023, supports the development of next-generation tools to quantify complex behaviors and integrate them with simultaneous recordings of brain activity in humans. 

BRAIN issues Notice of Intent to create centers for engineering and optimization of molecular technologies for studying neural circuits

The centers will be created through a new notice of funding opportunity (NOFO) that is part of a family of NOFOs supporting the BRAIN Initiative Armamentarium transformative project. This NOFO is anticipated to be published in December 2022 with an expected application due date in June 2023 and an earliest start date in April 2024 

NSF issues new funding opportunity for “Brain-Inspired Dynamics for Engineering Energy-Efficient Circuits and Artificial Intelligence (BRAID)”

This program will open new opportunities to transform innovative neuroscience findings and theories from into new frameworks that distill and apply biological learning principles to the design of engineered learning systems. 

BRAIN and Stanford University issue a funding opportunity to understand brain function in health and disease

The Stanford Program for Integrated Neuroscience Technologies (SPrINT) is funding pilot projects focused on understanding brain function. Applications are due December 9, 2022. 

The Stanford Program for Integrated Neuroscience Technologies (SPrINT) is funding pilot projects focused on understanding brain function. Applications are due December 9, 2022. 

BRAIN issues a new funding opportunity for the development of technologies to understand behavior at the organismal level

This funding opportunity, with the next due date of February 14, 2023, is part of the Brain-Behavior Quantification and Synchronization (BBQS) program. It will support the development of research projects aimed at advancing approaches for high-resolution synchronized capture of complex behavioral and environmental data and development of computational models of behavior as a complex dynamic system. 

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