Ellie Pavlick is the associate chair of the Department of Computer Science, and a Carney collaborator on artificial intelligence projects that involve natural language processing - a technology that makes chatbots possible. How language works, in humans and machines, is Pavlick's central scientific fascination.

In 2024, the Robert J. and Nancy D. Carney Institute for Brain Science faculty made major strides in research, postdocs continued to build community and new scientific leaders joined the team.

After winning a Nobel Prize, celebrated Brown physicist Leon Cooper made a big pivot from electrons to neurons and, for 40 years, galvanized the campus around brain science.

Working in fruit flies, the lab of Kate O’Connor-Giles studied a culprit causing certain intellectual disabilities - and showed that antioxidants can reverse its effects

Carney Institute affiliate Carina Curto served as a presenter and panelist at the recent BRAIN NeuroAI Workshop, making a case for using the fundamental principles of neuroscience to build better deep neural networks that run artificial intelligence systems.

Visual simulation is a form of imagination, a way to predict and plan by “seeing” future events in your mind’s eye. A team led by David Sheinberg has published new work that shows, with the strongest evidence yet, that monkeys also possess the power of visual simulation, findings that challenge our current understanding of animal cognition.

Yee is a recipient of a competitive NIH Pathway to Independence Award, or K99/R00, which gives postdocs five years of financial support to help them transition into a tenure-track faculty position. Along with postdoc Darcy Diesburg, Yee this fall organized a retreat for Carney postdocs to build community and share resources.

How neuroscience is forging the future of mental health care

Deep neural networks are computer models that drive today’s artificial intelligence technologies. Unpacking what’s inside these models is the focus of a growing field of research known as explainability or XAI. Explainability demystifies AI by revealing how a deep neural network model has learned to solve a given task.

For 10 years, the Zimmerman Innovation Awards in Brain Science have forged powerful science partnerships, spurred millions in funding, and–above all– supported groundbreaking science.

For nearly a decade, Diane Hoffman-Kim's lab has made cortical spheroids – basically working mini-brains.

On September 23, Edward “Ted” Huey, M.D., joined some of the nation’s leading experts on Alzheimer’s disease at the National Institute on Aging to help set research priorities and to present his work. Huey’s main message: Memory loss is not the only sign of this common and devastating disease.

Hannah Doyle, Jennifer Dumouchel, Gabriela Molica, Hasib Aamir Riaz, Max Seppo and Emma Suneby are poised to make important contributions to the study of obsessive compulsive disorder, multiple sclerosis, amyotrophic lateral sclerosis and more.

Each person is just six or fewer social connections away from anyone else in the world. That’s the social psychology concept of six degrees of separation, an idea born around a century ago when telephones and airplanes dramatically shrank the distance between people — and rapidly expanded social networks.

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.

Tongyin Zheng is a postdoctoral scientist working in the Fawzi lab.

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

Sophie Brown is a 4th year graduate student working in the Borton lab.