The brain may learn about the world the same way some computational models do
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
The fibers could help with testing treatments for nerve-related pain.
The awards support creative, innovative research with a broad impact.
New research finds RNA-guided enzymes called Fanzors are widespread among eukaryotic organisms.
New research suggests daily mindfulness training at home helped reduce kids’ stress levels and negative emotions.
Five MIT faculty, along with seven additional affiliates, are honored for outstanding contributions to medical research.
Through his leadership and vision, McGovern Institute postdoc Ubadah Sabbagh aims to improve the scientific process in the US and abroad.
Department of Brain and Cognitive Sciences faculty members Ev Fedorenko, Ted Gibson, and Roger Levy believe they can answer a fundamental question: What is the purpose of language?
In a simple game that humans typically ace, mice learn the winning strategy, too, but refuse to commit to it, new research shows.
Faculty members were recently granted tenure in the departments of Biology, Brain and Cognitive Sciences, Chemistry, EAPS, and Physics.
Prestigious awards recognize community support of MIT’s goals, values, and mission.
New soft-bodied robots that can be controlled by a simple magnetic field are well suited to work in confined spaces.
Training artificial neural networks with data from real brains can make computer vision more robust.
The first RNA-guided DNA-cutting enzyme found in eukaryotes, Fanzor could one day be harnessed to edit DNA more precisely than CRISPR/Cas systems.
MIT engineers’ new technology can probe the neural circuits that influence hunger, mood, and a variety of diseases.