Lindsay Case and Guangyu Robert Yang named 2022 Searle Scholars
MIT cell biologist and computational neuroscientist recognized for their innovative research contributions.
MIT cell biologist and computational neuroscientist recognized for their innovative research contributions.
This circuit, which weakens with age, could offer a target to help prevent age-related decline in spatial memory.
With a comprehensive map of the wiring, researchers can now discern what information flows into the circuit to enable a key brain function.
Senior Keith Murray combines his interests in neuroscience, computation, and philosophy to better understand human behavior.
Natural language processing models capture rich knowledge of words’ meanings through statistics.
Innovative brain-wide mapping study shows that an “engram,” the ensemble of neurons encoding a memory, is widely distributed and includes regions not previously realized.
A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.
Prestigious honor society announces more than 250 new members.
Competitive seed grants launch yearlong investigations of novel hypotheses about potential causes, biomarkers, treatments of Alzheimer’s and ALS.
MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.
Seven staff members are recognized for their dedication to the School of Science and to MIT.
Fellowship funds graduate studies for outstanding immigrants and children of immigrants.
AIMBE's highest honor recognizes MIT professor's contributions to neural signal processing, anesthesiology advances.
When artificial intelligence is tasked with visually identifying objects and faces, it assigns specific components of its network to face recognition — just like the human brain.
Electric fields may represent information held in working memory, allowing the brain to overcome “representational drift,” or the inconsistent participation of individual neurons.