The unifying theme of DiCarlo’s lab is to understand how we can recognize objects in the world using visual data – or how we are able to see. Read more..
News
Mon, 10/05/2015
Using data from both humans and nonhuman primates, neuroscientists have found that neuron firing patterns in the IT cortex correlate strongly with success in object-recognition tasks. Read More..
Fri, 05/08/2015
How do primates, including humans, tell faces apart? Scientists have long attributed this ability to so-called “face-detector” (FD) neurons, thought to be responsible for distinguishing faces, among other objects. But no direct evidence has supported this claim. Now, using optogenetics, a...
Thu, 12/18/2014
For decades, neuroscientists have been trying to design computer networks that can mimic visual skills such as recognizing objects, which the human brain does very accurately and quickly. Until now, no computer model has been able to match the primate brain at visual object recognition during a...
Mon, 03/24/2014
America's finest news source, The Onion, featured "groundbreaking" research that was not conducted in the DiCarlo lab. According to the story published in March...
Thu, 02/02/2012
James DiCarlo, associate professor of neuroscience, has been named head of the Department of Brain and Cognitive Sciences. His five-year term will begin March 1.
DiCarlo succeeds Mriganka Sur, who will leave his position as department head to become the director of the Simons Center for...
Wed, 11/24/2010
Neuroscientists at MIT and Harvard have made the surprising discovery that the brain sees some faces as male when they appear in one area of a person’s field of view, but female when they appear in a different location.
The findings challenge a longstanding tenet of neuroscience — how the...
Wed, 09/22/2010
Understanding how the brain recognizes objects is a central challenge for understanding human vision, and for designing artificial vision systems. (No computer system comes close to human vision.) A new study by neuroscientists suggests that the brain learns to solve the problem of object...
Thu, 09/11/2008
In work that could aid efforts to develop more brain-like computer vision systems, MIT neuroscientists have tricked the visual brain into confusing one object with another, thereby demonstrating that time teaches us how to recognize objects.
As you scan this visual scene (indicated with...
Thu, 01/24/2008
For years, scientists have been trying to teach computers how to see like humans, and recent research has seemed to show computers making progress in recognizing visual objects. A new MIT study, however, cautions that this apparent success may be misleading because the tests being used are...
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