Study explains why the brain can robustly recognize images, even without color
The findings also reveal why identifying objects in black-and-white images is more difficult for individuals who were born blind and had their sight restored.
The findings also reveal why identifying objects in black-and-white images is more difficult for individuals who were born blind and had their sight restored.
Christopher Wang, a senior in EECS, shares his favorite study spaces, how he discovered theater at the Institute, and what he'll miss most.
The Fulbright US Student Program funds research, study, and teaching opportunities abroad.
Guoping Feng, Piotr Indyk, Daniel Kleitman, Daniela Rus, Senthil Todadri, and nine alumni are recognized by their peers for their outstanding contributions to research.
The new technique could enable detailed studies of how brain cells develop and communicate with each other.
Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.
A new framework describes how thought arises from the coordination of neural activity driven by oscillating electric fields — a.k.a. brain “waves” or “rhythms.”
MIT professors Roger Levy, Tracy Slatyer, and Martin Wainwright appointed to the 2024 class of “trail-blazing fellows.”
For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.
The honor recognizes professors for their outstanding mentorship of graduate students.
An MIT Values event showcased three women's career journeys and how they are paving the way for the next generation.
Mark Harnett investigates how electrical activity in mammalian cortical cells helps to produce neural computations that give rise to behavior.
For 10th consecutive year, the Institute ranks No. 2 among all colleges and No. 1 among colleges with one main campus, underlying the impact of innovation and critical role of technology transfer.
The MIT Schwarzman College of Computing building will form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence.
An MRI method purported to detect neurons’ rapid impulses produces its own misleading signals instead, an MIT study finds.