The Center for Brains, Minds & Machines

Amnon Shahua inducted into the Automotive Hall of Fame

CBMM’s EAC member Amnon Shahua was recently inducted into the Automotive Hall of Fame as the 2022 Mobility Innovator.
Tomaso Poggio and team presented with ICCV Helmholtz Prize

Tomaso Poggio and team awarded the 2021 Helmholtz Prize for their paper HMDB: A large video database for human motion recognition (H. Kuehne; H. Jhuang; E. Garrote; T. Poggio; T. Serre). The paper has been cited over 1400 times with 6 patent citations.
Tomaso Poggio presented with the 2022 Kampe de Feriet award

At the nineteenth International Conference on Information Processing and Management of Uncertainty in knowledge-based systems (IPMU 2022), Prof. Tomaso Poggio delivered the plenary lecture on "The Science and Engineering of Intelligence."
Artificial neural networks model face processing in autism [MIT News]

A new computational model could explain differences in recognizing facial emotions. Kohitij Kar, a research scientist with CBMM, hoped to zero in on the answer.
Are humans 'wired' to hate, and if so, why? [MedicalNewsToday]

"According to Dr. Rebecca Saxe, hate shares characteristics with other negative emotions, such as anger, contempt, and disgust. It differs from them in that it focuses on the innate nature, motives, and characteristics of the target."
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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Videos | Support Us

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.

Summer course students working / Marine Biology Lab, Woodshole, MA

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 »

Prof. Nancy Kanwisher lecturing to a room full of students

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 »

Featured news

Tomaso Poggio and team presented with ICCV Helmholtz Prize

August 12, 2022

Tomaso Poggio and team were awarded the 2021 Helmholtz Prize for their paper HMDB: A large video database for human motion recognition (H. Kuehne; H. Jhuang; E. Garrote; T. Poggio; T. Serre). The...

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Seminars + events

CBMM | Quest Research Meeting / Town Hall

September 13, 2022 - 4:00 pm

McGovern Reading Room (fallback Singleton Auditorium 46-3002)

Profs. Jim DiCarlo (Director, MIT Quest) and Tomaso Poggio (...

Topic: New Home: CBMM is now part of the MIT Quest for Intelligence Initiative We will have a...

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CBMM spotlight

Liz Spelke: Core Cognition

Liz Spelke: Core Cognition

Associated Research Thrust(s):

Development of Intelligence

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Highlighted publications

CBMM Memo No:

137

A. Rangamani and Xie, Y., “Understanding the Role of Recurrent Connections in Assembly Calculus”. 2022.

P. Nilchian, Wilson, M. A., and Sanders, H., “Animal-to-Animal Variability in Partial Hippocampal Remapping in Repeated Environments”, The Journal of...

CBMM Memo No:

136

Y. Han, Poggio, T. A., and Cheung, B., “System identification of neural systems: If we got it right, would we know?”. 2022.

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Featured video

Embedded thumbnail for Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass [video]

Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass [video]

CBMM researchers Giorgia Dellaferrera and Gabriel Kreiman discuss their latest paper, published in Proceedings of Machine Learning Research 2022, on neural networks using backpropogation and how they...

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