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Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.

MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.

MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.

A new language-processing tool could help identify the highest-risk individuals from natural language, enabling swifter interventions.

Making a decision requires juggling a set of options without getting them confused or losing track of them. A new MIT study shows how neurons encode information to maximize clarity throughout the process.

Patricia and James Poitras ’63 provide fellowships for graduate students and postdocs who will shape the future of mental health research.

Innovative strategies, technologies, and collaborations are helping MIT advance solutions on campus and beyond.

Delivered at just the right time, this type of auditory stimulus can strengthen the flow of cerebrospinal fluid, which clears debris from the brain and keeps it healthy.

The brain's ability to generate quick, nimble volitional thought — and a unified awareness of thought and experience — arises from analog computations, MIT neuroscientists argue in a new review.

A new study reveals insights into populations of neurons affected by Huntington’s disease, schizophrenia, addiction, and other disorders.