The winners will expand upon their winning research model to address memory and epilepsy related questions.

Edward “Ted” Huey, the director of the Memory and Aging Program at Butler Hospital and a professor of psychiatry and human behavior at Brown University, has been named the associate director of Brown University's Center for Alzheimer's Disease Research.

The Advancing Research Careers program awards postdoctoral scientists more than $25,000 to pilot a project independent of their home labs.

A Carney Institute faculty member has received a $100,000 prize for her work to commercialize an app to better identify and treat chronic pain.

This year’s projects span behavioral and systems neuroscience, circuit therapeutics, computation and modeling, molecular analysis, and Alzheimer’s disease research.

A collaboration between professors Michael Frank and Ellie Pavlick is yielding important results about similarities between how ChatGPT-like AI and the human brain accomplish certain complex tasks, opening the door for transformative research at the intersection of computational neuroscience and computer science.

Dopaminergic therapy and deep brain stimulation can improve the motor symptoms of Parkinson’s disease (PD). But both treatments can make patients more impulsive. In a new study, Carney researchers combined experimental testing with computational modeling to uncover two different routes the two treatments take to modify decision-making.

Mathematical neuroscientist Carina Curto led an ambitious semester program at ICERM this fall, attracting neuroscientists and mathematicians from all over the world. She brings her vision to Carney in July 2024.

The wealthiest person on Earth has taken the next step toward a commercial brain interface.

Carolina Haass-Koffler, Stephanie R. Jones and Frederike Petzschner are among the twelve researchers selected as finalists for 2023-24 MIT-Royalty Pharma Prize Competition to support female entrepreneurs in biotech.

Many people are wired to seek and respond to rewards. Your brain interprets food as rewarding when you are hungry and water as rewarding when you are thirsty. But addictive substances like alcohol and drugs of abuse can overwhelm the natural reward pathways in your brain, resulting in intolerable cravings and reduced impulse control.

The prediction of individual treatment responses with machine learning faces hurdles