Not every reader’s struggle is the same
An MIT study finds that children from different socioeconomic backgrounds tend to have different brain patterns associated with reading difficulty.
An MIT study finds that children from different socioeconomic backgrounds tend to have different brain patterns associated with reading difficulty.
Computing systems that appear to generate brain-like activity may be the result of researchers guiding them to a specific outcome.
Using a new technology, researchers hope to create better control systems for prosthetic limbs.
Professors Mark Bear and Laura Kiessling ’83, along with Krishna Shenoy SM ’92, PhD ’95, David Tuveson ’87, and Martin Burke are among the newly elected members.
PhD candidate Raúl Mojica Soto-Albors seeks to understand the rules of plasticity that underlie neuronal behavior.
At an exhibition marking two decades since a transformative gift from the Picower Foundation, current and alumni members described research at the forefront of neuroscience and beyond.
Gloria Choi’s studies of how the immune system and nervous system influence each other could yield new approaches to treating neurological disorders.
Study indicates ailing neurons may instigate an inflammatory response from the brain’s microglia immune cells.
Payton Dupuis finds new scientific interests and career opportunities through MIT summer research program in biology.
A machine-learning method finds patterns of health decline in ALS, informing future clinical trial designs and mechanism discovery. The technique also extends to Alzheimer’s and Parkinson’s.
Neuroscience PhD student Fernanda De La Torre uses complex algorithms to investigate philosophical questions about perception and reality.
“We can’t think of the brain only as neurons,” says PhD student Mitch Murdock, who explores the cellular basis of Alzheimer’s disease.
A simple animal model shows how stimuli and states such as smells, stressors, and satiety converge in an olfactory neuron to guide food-seeking behavior.
When holding information in mind, neural activity is more focused when and where there are bursts of gamma frequency rhythms.
PhD student Setayesh Radkani studies the psychological and neural mechanisms at work when humans learn from and influence each other.