Lawrence Udeigwe uses elegant math to understand complex systems of the brain
Martin Luther King Jr. Scholar bridges disciplines to translate vision into elegant math and neuroscience theory.
Center for Brains Minds and Machines
The benefits of peripheral vision for machines
Researchers find similarities between how some computer-vision systems process images and how humans see out of the corners of our eyes.
Singing in the brain
MIT neuroscientists have identified a population of neurons in the human brain that respond to singing but not other types of music.
Nancy Kanwisher wins National Academy of Sciences Award in the Neurosciences
Professor and cognitive neuroscientist recognized for groundbreaking work on the functional organization of the human brain.
Where did that sound come from?
MIT neuroscientists have developed a computer model that can answer that question as well as the human brain.
Perfecting pitch perception
Computational modeling shows that both our ears and our environment influence how we hear.
A key brain region responds to faces similarly in infants and adults
Study suggests this area of the visual cortex emerges much earlier in development than previously thought.
Giving robots social skills
A new machine-learning system helps robots understand and perform certain social interactions.
Artificial intelligence sheds light on how the brain processes language
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
Artificial networks learn to smell like the brain
When asked to classify odors, artificial neural networks adopt a structure that closely resembles that of the brain’s olfactory circuitry.
How the brain navigates cities
We seem to be wired to calculate not the shortest path but the “pointiest” one, facing us toward our destination as much as possible.
James DiCarlo named director of the MIT Quest for Intelligence
Brain and cognitive sciences professor will lead the Institute’s interdisciplinary initiative to advance research in natural and artificial intelligence.
Professor Antonio Torralba elected 2021 AAAI Fellow
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
Neuroscientists find a way to make object-recognition models perform better
Adding a module that mimics part of the brain can prevent common errors made by computer vision models.
How humans use objects in novel ways to solve problems
What's SSUP? The Sample, Simulate, Update cognitive model developed by MIT researchers learns to use tools like humans do.