MIT cognitive scientists reveal why some sentences stand out from others
Sentences that are highly dissimilar from anything we’ve seen before are more likely to be remembered accurately.
Sentences that are highly dissimilar from anything we’ve seen before are more likely to be remembered accurately.
An international collaboration of neuroscientists, including MIT Professor Ila Fiete, developed a brain-wide map of decision-making at cellular resolution in mice.
A commitment from longtime supporters Patricia and James Poitras ’63 initiates multidisciplinary efforts to understand and treat complex psychiatric disorders.
A new computational model makes sense of the cognitive processes humans use to evaluate punishment.
A new study finds parts of the brain’s visual cortex are specialized to analyze either solid objects or flowing materials like water or sand.
In a small clinical study, users of this prosthesis navigated more easily and said the limb felt more like part of their body.
Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.
Study shows humans flexibly deploy different reasoning strategies to tackle challenging mental tasks — offering insights for building machines that think more like us.
Neural activity patterns can encode competing hypotheses about which landmark will lead to the correct destination.
Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.
After six weeks of practicing mindfulness with the help of a smartphone app, adults with autism reported lasting improvements in their well-being.
Since an MIT team introduced expansion microscopy in 2015, the technique has powered the science behind kidney disease, plant seeds, the microbiome, Alzheimer’s, viruses, and more.
A quarter century after its founding, the McGovern Institute reflects on its discoveries in the areas of neuroscience, neurotechnology, artificial intelligence, brain-body connections, and therapeutics.
New research using computational vision models suggests the brain’s “ventral stream” might be more versatile than previously thought.
Associate Professor Evelina Fedorenko is working to decipher the internal structure and functions of the brain’s language-processing machinery.