Robert J. and Nancy D. Carney Institute for Brain Science

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A Case for Addiction Science Advocacy

Karla Kaun argues that addiction researchers should talk about their work in their everyday lives. Those conversations can shape how drug, tobacco and alcohol use is studied in labs, taught in schools, treated in clinics and shaped by policy. Brown addiction researchers have a track record of success in exerting the influence of evidence.
News from Carney

Community Spotlight: Jay Gopal

Jay Gopal is enrolled in Brown’s Program in Liberal Medical Education, which combines undergraduate and medical school education. A researcher in the Serre Lab, Gopal is creating human-aligned deep neural networks and leading the design and development of ClickMe, an object recognition game with thousands of online users who are creating a massive AI training set. He is also co-founder of a medical software startup.
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Community Spotlight: Ellie Pavlick

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.
News from Carney

Carney Year in Review

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.
News from Carney

Catalyst: Leon Cooper and Brown brain science

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.
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NeuroAI: Better AI through brain science

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.
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Monkeys have a mind's eye, too

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.
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Community Spotlight: Debbie Yee

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.
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Explainable AI busts open black boxes

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.
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Return on a decade of innovation investment

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.
News from Carney

Moving to a multifaceted view of dementia

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.
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.