Center for Computational Brain Science
The human brain defines who we are. It evolved to store a lifetime of memories, recognize faces in the blink of an eye, plan for the future and communicate fluidly. The Carney Center for Computational Brain Science (CCBS) seeks to understand how the human brain accomplishes such complex tasks with precision and speed, and with continuity across decades.
CCBS is focused on computational approaches to solving the big questions of our time, translating new insights into real-world progress.
- The center provides an infrastructure to harness Brown University’s world-class expertise in computation, cognition and systems neuroscience. It provides the energy, focus and cohesion needed for the next great breakthroughs for a better society.
- CCBS catalyzes new collaborations across campus, engaging mathematicians, computer scientists, biologists, behavioral economists and cognitive neuroscientists.
- The center allows for integration across levels of computational analysis, which is critical for understanding the brain.
- Building on Brown’s Open Curriculum, the center provides cross-training in computational methods for students, basic scientists and physician-scientists. The center also enhances community engagement in computational brain science through hackathons, modeling challenges and scientific symposiums.
- CCBS invests in high-risk, high-gain research with the potential for conversion to startups, thereby accelerating the translation of computational approaches to clinical applications and commercialization.
Brown has strong, internationally recognized leadership across the spectrum of diverse areas within computational brain science. Our center brings this expertise together, and it will facilitate synergistic combinations of basic science with theory that can lead to novel applications in the areas of artificial and natural intelligence and neurotechnology and psychiatry
– Michael Frank, director of the Center for Computational Brain Science and Edgar L. Marston Professor of Psychology