From neurons to learning and memory
Mark Harnett investigates how electrical activity in mammalian cortical cells helps to produce neural computations that give rise to behavior.
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.
An MRI method purported to detect neurons’ rapid impulses produces its own misleading signals instead, an MIT study finds.
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.
An MIT study finds the brains of polyglots expend comparatively little effort when processing their native language.
Study finds stimulating a key brain rhythm with light and sound increases peptide release from interneurons, driving clearance of an Alzheimer’s protein.
MIT neuroscientists have discovered a circuit that controls vocalization and makes sure that breathing is prioritized over speaking.
Nine postdocs and research scientists honored for contributions to the Institute.
A study of people in 15 countries reveals that while everyone favors rhythms with simple integer ratios, biases can vary quite a bit across societies.
A new microscopy technique that enables high-resolution imaging could one day help doctors diagnose and treat brain tumors.
Team-based targeted projects, multi-mentor fellowships ensure that scientists studying social cognition, behavior, and autism integrate multiple perspectives and approaches to pressing questions.
An MIT study finds the brains of children who grow up in less affluent households are less responsive to rewarding experiences.
Across mammalian species, brain waves are slower in deep cortical layers, while superficial layers generate faster rhythms.
A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.
Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.