With programmable pixels, novel sensor improves imaging of neural activity
New camera chip design allows for optimizing each pixel’s timing to maximize signal-to-noise ratio when tracking real-time visual indicator of neural voltage.
New camera chip design allows for optimizing each pixel’s timing to maximize signal-to-noise ratio when tracking real-time visual indicator of neural voltage.
Co-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.
MIT neuroscientists have found that the brain uses the same cognitive representations whether navigating through space physically or mentally.
MIT scientists honored in each of the three Kavli Prize categories: neuroscience, nanoscience, and astrophysics, respectively.
New research addresses a gap in understanding how ketamine’s impact on individual neurons leads to pervasive and profound changes in brain network function.
The fellowships provide five years of funding to doctoral students in applied science, engineering, and mathematics who have “the extraordinary creativity and principled leadership necessary to tackle problems others can’t solve.”
With generative AI models, researchers combined robotics data from different sources to help robots learn better.
With support from The Marcus Foundation, an MIT neuroscientist and a Harvard Medical School immunologist will study the “fever effect” in an effort to devise therapies that mimic its beneficial effects.
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.”