A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making.
A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making. The findings from Princeton neuroscientists may one day improve how brain circuits go awry in neurological disorders, such as Alzheimer’s, and could help artificial brains, like Alexa or self-driving car technology, more helpful.
The findings were published(Link is external) February 10 in the journal Nature Neuroscience.
Walking to work, commuters encounter many sensory signals along their route, such as the glow of a crosswalk signal that indicates whether it’s safe to cross or beware of oncoming traffic. As the crude cartoon of a person walking lights up and people start to cross, a roaring ambulance might bolt down the block and towards the intersection.
Precisely how the brain juggles conflicting and related sensory information, such as colored signals and loud sirens, and makes a sensible decision has been long studied but still a mystery.
Read more at Princeton University
Photo Credit: geralt via Pixabay
