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DiCarlo’s research goal is to reverse engineer the brain mechanisms that underlie human visual intelligence. He and his collaborators have revealed how population image transformations carried out by a deep stack of interconnected neocortical brain areas — called the primate ventral visual stream — are effortlessly able to extract object identity from visual images. His team uses a combination of large-scale neurophysiology, brain imaging, direct neural perturbation methods, and machine learning methods to build and test neurally-mechanistic computational models of the ventral visual stream and its support of cognition and behavior. Such an engineering-based understanding is likely to lead to new artificial vision and artificial intelligence approaches, new brain-machine interfaces to restore or augment lost senses, and a new foundation to ameliorate disorders of the mind.
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Nature communicationsno. 1 (2023): 1597
Michael J. Lee,James J. DiCarlo
biorxiv(2023)
Joel Dapello, Kohitij Kar,Martin Schrimpf, Robert Geary, Michael Ferguson, David D. Cox,James J. DiCarlo
ICLR 2023 (2022)
Aran Nayebi, Javier Sagastuy-Brena,Daniel M. Bear, Kohitij Kar, Jonas Kubilius,Surya Ganguli,David Sussillo,James J. DiCarlo,Daniel L. K. Yamins
biorxiv(2021)
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