The BRAIN Blog

This notice of funding opportunity (NOFO) will support the creation of Molecular Payloads Centers with a first application due date of June 28, 2023, and the earliest start date of April 2024. 

Register now for the first NIH Annual Investigator meeting on Functional Neural Circuits which will take place on September 29, 2022. This virtual meeting will focus on pre-clinical functional neural circuit analysis of interoception. 

The NIH BRAIN Initiative announces awards for two-large scale projects that aim to transform neuroscience research and enhance our understanding of the human brain.  

A virtual National Academies of Sciences, Engineering, and Medicine (NASEM) workshop on September 22 and September 23, 2022 brings together experts to discuss scientific, technical, ethical, and regulatory issues around brain-machine interfaces.

OpenScope Program, DANDI Archive, Neurodata Without Borders (NWB), and The Kavli Foundation co-host an upcoming Open Neurodata Showcase on Wednesday, September 28, to promote neurodata analysis in NWB and DANDI. This event is open to the public. 

Dr. Preeya Khanna is a F32 award recipient who used the funding opportunity to study motor control restoration after stroke. The F32 funding opportunity supports the research training of promising researchers early in their postdoctoral training period.

Last month, members of the NIH BRAIN Initiative Neuroethics Working Group (NEWG) and Multi-Council Working Group (MCWG) discussed research-related care needs for trial participants, emerging ethics themes, the annual BRAIN Initiative meeting, and more.

This digital campaign, taking place September 12-16, 2022, encourages leaders, producers, educators, and users to promote the importance of open science.

The BRAIN Initiative Alliance is hosting Tools, Tech & Theory: A BRAIN Initiative Social at the 2022 Society for Neuroscience Annual Meeting on November 13, 2022. Applications are now open! 

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.