New technologies reveal cross-cutting breakdowns in Alzheimer’s disease
“Single-cell profiling” is helping neuroscientists see how disease affects major brain cell types and identify common, potentially targetable pathways.
“Single-cell profiling” is helping neuroscientists see how disease affects major brain cell types and identify common, potentially targetable pathways.
Comparing models of working memory with real-world data, MIT researchers find information resides not in persistent neural activity, but in the pattern of its connections.
Longtime MIT professor of neuroscience led research behind 200 patents, laying the groundwork for numerous medical products.
MIT researchers are discovering which parts of the brain are engaged when a person evaluates a computer program.
The new fellowship from the governments of Australia, India, Japan, and the United States, administered by Schmidt Futures, supports graduate education in STEM fields.
MIT researchers report early-stage clinical study results of tests with noninvasive 40-hertz light and sound treatment.
A new optogenetics-based tool allows researchers to control how neurons respond to electrical input.
Rubbing an aching body part can bring some relief. Neuroscientists at MIT's McGovern Institute are looking to find out why.
These immature connections may explain how the adult brain is able to form new memories and absorb new information.
The MIT senior will pursue postgraduate studies in computer science in Ireland.
In people carrying APOE4, a key brain cell mismanages cholesterol needed to insulate neurons properly — another sign APOE4 contributes to disease by disrupting brain lipids.
Scientists hypothesize that, as in a hibernating turtle, the brain under sedation and deprived of oxygen may assume a protective state.
Researchers have discovered that the brains of these simple fish can create three-dimensional maps of their surroundings.
Society for Neuroscience honors BCS professor for breakthrough research modeling a component of the brain’s navigational system.
MIT CSAIL researchers solve a differential equation behind the interaction of two neurons through synapses to unlock a new type of speedy and efficient AI algorithm.