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About MITCBMM

The Center for Minds, Brains and Machines (CBMM) supported by the National Science Foundation (NSF), under a Science and Technology Centers (STCs): Integrative Partnerships award, Grant No. CCF-1231216.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Recent Videos from MITCBMM

Face neurons encode nonsemantic features

CBMM researchers Will Xiao and Gabriel Kreiman discuss their latest publication in PNAS and how their results suggest that so-called "face neurons" are better described as tuned to visual features rather than semantic categories.

Neurons detect cognitive boundaries to structure episodic memories in humans

CBMM researchers Dr. Jie Zheng and Prof. Gabriel Kreiman discuss their paper entitled "Neurons detect cognitive boundaries to structure episodic memories in humans" recently published in Nature Neuroscience on episodic memories where they show that neurons responded to abstract cognitive boundaries…

GLMsingle: a toolbox for improving single-trial fMRI response estimates

Jacob Prince, MIT Advances in modern artificial intelligence have inspired a paradigm shift in human neuroscience, yielding large-scale functional magnetic resonance imaging (fMRI) datasets that provide high-resolution brain responses to tens of thousands of naturalistic visual stimuli. Because su…