Biology-based brain model matches animals in learning, enables new discovery
New “biomimetic” model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and even identified curious behavior by some neurons.
New “biomimetic” model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and even identified curious behavior by some neurons.
MIT researchers tested their theory of spatial computing, which holds that the brain recruits and controls ad hoc groups of neurons for cognitive tasks by applying brain waves to patches of the cortex.
Researchers propose a roadmap for using transcranial focused ultrasound, a noninvasive way to stimulate the brain and see how it functions.
Research shows direct flights and links to key airports help multinational firms expand globally and decide where to invest.
Professor Emilio Castilla explains how bias can creep into employers’ talent management processes — and what leaders can do to make their organizations fairer and more meritocratic.
Research illustrates how areas within the brain’s executive control center tailor messages in specific circuits with other brain regions to influence them with information about behavior and feelings.
MIT researchers discover how an immune system molecule triggers neurons to shut down social behavior in mice modeling infection.
Seven speakers from around the country convened at MIT to describe some of the latest research on the neural mechanisms that we need to survive.
An international collaboration of neuroscientists, including MIT Professor Ila Fiete, developed a brain-wide map of decision-making at cellular resolution in mice.
The IECP will generate rigorous evidence for fair and effective public safety solutions.
An analysis of social media in 157 countries finds hotter weather is associated with more negative sentiments.
A new computational model makes sense of the cognitive processes humans use to evaluate punishment.
Study shows humans flexibly deploy different reasoning strategies to tackle challenging mental tasks — offering insights for building machines that think more like us.
Forget optimists vs. Luddites. Most people evaluate AI based on its perceived capability and their need for personalization.
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.