Staying stable
Whether they walk on two, four, or six legs, animals maintain stability by monitoring their body position and correcting errors with every step.
Whether they walk on two, four, or six legs, animals maintain stability by monitoring their body position and correcting errors with every step.
MIT Venture Mentoring Service Operations Manager Brian Hanna matches entrepreneurs with industry professionals who help take their ventures to the next level through personalized mentorship and expert advice.
MIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems.
While most states mandate screenings to guide early interventions for children struggling with reading, many teachers feel underprepared to administer and interpret them.
The Rare Brain Disorders Nexus aims to accelerate the development of novel therapies for a spectrum of uncommon brain diseases.
Brain imaging suggests people with musical training may be better than others at filtering out distracting sounds.
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.