Seven from MIT receive National Institutes of Health awards for 2021
Awards support high-risk, high-reward biomedical and behavioral research.
Awards support high-risk, high-reward biomedical and behavioral research.
A study of mice watching movies shows our brain cells rely on a circuit of inhibitory neurons to help ensure that the same images are represented consistently.
Interdisciplinary research center funded by philanthropist Lisa Yang aims to mitigate disability through technologies that marry human physiology with electromechanics.
Neuroscientists at MIT and Massachusetts General Hospital develop a statistical framework that describes brain-state changes patients experience under ketamine-induced anesthesia.
Exploring diversity among bacterial immune systems, McGovern Institute scientists uncovere a programmable system for precisely targeting and modifying RNA.
By temporarily suspending retinal activity in the non-amblyopic eye of animal models, neuroscientists restrengthen the visual response in the "lazy" eye, even at ages after the critical period when patch therapy fails.
Researchers find RNA-guided enzymes are more diverse and widespread than previously believed.
Record number of honorees will engage in the life of the Institute through teaching, research, and other interactions with the MIT community.
The PhD student uses machine learning as a tool for studying pain and consciousness — and as subject matter for her popular videos.
Through a summer research program at MIT, Patricia Pujols explored the neuromuscular junction, and a future in science.
Twelve professors begin in the departments of Biology; Brain and Cognitive Sciences; Chemistry; Earth, Atmospheric and Planetary Sciences; Mathematics; and Physics.
Made of components found in the human body, the programmable system is a step toward safer, targeted delivery of gene editing and other molecular therapeutics.
Professors will help guide school-level initiatives and strategy.
Neuroscientist’s studies help reveal how the brain keeps time, makes decisions, and evaluates other people’s actions.
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.