Study sheds light on potential for long-term, at-home use of deep brain stimulation as a treatment for neuropsychiatric disorders
BRAIN grantee Eva Dyer is at the forefront of surge in computational neuroscience research at Georgia Tech
New guide will lead to more rigorous analysis, reproducibility and richer conclusions.
Atlas and cell census represent the initial products of the BRAIN Initiative Cell Census Network
By Joshua Gordon, M.D., Ph.D., and Walter Koroshetz, M.D., director of the National Institute of Neurological Disorders and Stroke
Massive cell census could better pinpoint targets for treating brain diseases
Scientists around the world are working together to catalogue and map cells in the brain. What have these huge projects revealed about how it works?
The Albert Lasker Basic Medical Research Award, largely regarded as America’s top biomedical research prize, was recently awarded to three investigators for their pioneering work on optogenetics, including BRAIN MCWG member Karl Deisseroth.
The 2021 cohort of Howard Hughes Medical Institute (HHMI) Investigators includes six BRAIN-funded scientists.
A report summarizing the discussion across the workshop series (PDF, 1.98 MB) is available.
The NIH-led Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative continues to teach us about the world’s most sophisticated computer: the human brain.
The Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative, which is an NIH-led project aimed at revolutionizing our under
NIH BRAIN Initiative-funded study opens the door to correlating deep brain activity and behavior
BRAIN Scientists John Maunsell and Tirin Moore are among the newly elected members of the National Academy of Sciences.
New ways to classify and study spinal cord neurons could inform therapies for illness or injury
Map of basal ganglia connectivity uncovers key links with implications for range of disorders
Mapping neural activity to corresponding behaviors is a major goal for neuroscientists developing brain–machine interfaces (BMIs): devices that read and interpret brain activity and transmit instructions to a computer or machine.