James DiCarlo

James DiCarlo is the and director of the MIT Quest for Intelligence, the Peter de Florez Professor of Neuroscience in the Department of Brain and Cognitive Science and a principal investigator at the McGovern Institute for Brain Research at MIT. His research focuses on using computational methods to understand the brain’s visual system, and with this knowledge, developing brain-machine interfaces to restore or augment lost senses. DiCarlo has received an Alfred P. Sloan fellowship, a Pew Scholar Award, and a McKnight Scholar Award. He earned a PhD in biomedical engineering, and an MD, from Johns Hopkins University.

Publications

• Kar, K., Kubilius, J., Schmidt, K., Issa, E. B., DiCarlo, J. J. (2019). Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior. Nature Neuroscience. 2019;22(6).
•  Bashivan, P., Kar, K., DiCarlo, J. J. (2019). Neural population control via deep image synthesis. Science. 2019;364(6439).
• Rajalingham, R., and DiCarlo, J. J. (2019). Reversible Inactivation of Different Millimeter-Scale Regions of Primate IT Results in Different Patterns of Core Object Recognition Deficits. Neuron. 2019;102:1-13.
• Kubilius, J., Schrimpf, M., Hong, H., Majaj, N., Rajalingham, R., Issa, E. B., Kar, K., Bashivan, P., Prescott-Roy, J., Schmidt, K., Nayebi, A., Bear, D., Yamins, D. L. K., DiCarlo, J. J. (2019). Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. in proceedings Neural Information Processing Systems. Vancouver, British Columbia, Canada.

Media

• March 13, 2019: MIT News, How the brain distinguishes between objects.
• May 2, 2019: MIT News, Putting vision models to the test. 
• Feb. 3, 2018:. Wired, To Advance Artificial Intelligence, Reverse-Engineer the Brain.
• Sept. 17, 2018: Science News, Smarter AIs could help us understand how our brains interpret the world.

Videos