Center For Brains, Minds And Machines (CBMM)

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• The Center for Brains, Minds and Machines (CBMM) Concludes A note from CBMM's co-Director Tomaso Poggio.
• Words for Kathleen & Kris A note from CBMM's co-Director Tomaso Poggio.
• The Center for Brains, Minds & Machines (2013-2025) Our final message:
• A fond farewell! Join us in celebrating the work and contributions of Kathleen Sullivan and Kris Brewer to the Center for Brains, Minds and Machines. We are wishing them farewell and best of luck on their next endeavors, while celebrating the end of CBMM.
• Brains, Minds + Machines Summer Course | MBL Woods Hole, MA An intensive three-week course which gives a “deep end” introduction to the problem of intelligence.

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The Center for Brains, Minds, and Machines (CBMM) is a multi-institutional NSF Science and Technology Center dedicated to the study of intelligence - how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines.

The Center for Brains, Minds and Machines (CBMM) is a multi-institutional NSF Science and Technology Center dedicated to the study of intelligence - how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines.

Brains, Minds, and Machines Summer Course

A CBMM flagship program, the Brains, Minds, and Machines Summer Course is an immersive 3-week course that provides a broad introduction to research on human & machine intelligence, combining three core disciplines — computation, neuroscience, and cognition — where students learn about common empirical & theoretical methods used in the field, and compelling results of this research, with an emphasis on the scientific mission of the Center.read more »

The Science of Intelligence Learning Hub

Explore the science of intelligence through lectures, tutorials, and courses offered by the CBMM community, and experiment with modeling and data analysis tools used in neuroscience, cognitive science, and AI, to study intelligence in brains and machines!read more »

#TeachMeSomething

¿Cómo ven nuestros ojos el cuadro completo? ... see more TMSs »

Featured news

What Can a Cell Remember? [Quanta Magazine] August 5, 2025 A small but enthusiastic group of neuroscientists is exhuming overlooked experiments and performing new ones to explore whether cells record past experiences — fundamentally challenging what memory... see more news »

Seminars + events

With the ending of CBMM, Center events will not continue. But, please enjoy the listings, videos and other associated materials from our past events using the link below. see more events »

CBMM spotlight

Bill Lotter: Unsupervised Learning Associated Research Thrust(s): Neural Circuits for Intelligence see more spotlights »

Highlighted publications

CBMM Memo No: 158 R. Dubach, Abdallah, M. S., and Poggio, T., “Multiplicative Regularization Generalizes Better Than Additive Regularization”. 2025. CBMM Memo No: 159 D. A. Danhofer, D’Ascenzo, D., Dubach, R., and Poggio, T., “Position: A Theory of Deep Learning Must Include Compositional Sparsity”. 2025. R. T. Pramod, Mieczkowski, E., Fang, C. X., Tenenbaum, J. B., and Kanwisher, N., “Decoding predicted future states from the brain’s “physics engine””... see more Publications »

Featured video

Advice for a (young) investigator in the first and last days of the Anthropocene see more videos »