A quarter century after its founding, the McGovern Institute reflects on its discoveries in the areas of neuroscience, neurotechnology, artificial intelligence, brain-body connections, and therapeutics.
New research using computational vision models suggests the brain’s “ventral stream” might be more versatile than previously thought.
Associate Professor Evelina Fedorenko is working to decipher the internal structure and functions of the brain’s language-processing machinery.
A new study finds natural and invented languages elicit similar responses in the brain’s language-processing network.
McGovern Institute researchers develop a mathematical model to help define how modularity occurs in the brain — and across nature.
New methods light up lipid membranes and let researchers see sets of proteins inside cells with high resolution.
The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.
Cognitive neuroscientist is recognized for her groundbreaking discoveries about the brain’s language system.
A new computational model explains how neurons linked to spatial navigation can also help store episodic memories.
Machine-learning models let neuroscientists study the impact of auditory processing on real-world hearing.
McGovern Institute neuroscientists use children’s interests to probe language in the brain.
At a symposium of the Simons Center for the Social Brain, six speakers described a diversity of recently launched studies aimed at improving understanding of the autistic brain.
Research could help improve motor rehabilitation programs and assistive robot control.
A detailed new look at dopamine signaling suggests neuroscientists’ model of reinforcement learning may need to be revised.
MIT and Sierra Leone’s Ministry of Health launch specialized program to train future clinicians on the fabrication of artificial limbs and braces for people with disabilities.