Faced with images that break the expected pattern, like a do not enter sign where a stop sign is expected, how does the brain react and learn compared to being shown images which match what was predicted? That was the question a team set out to answer. A long-standing theory suggests the brain learns a predictive model of the world and its internal predictions are updated when incoming sensory data proves them wrong.
from Latest Science News -- ScienceDaily https://ift.tt/FMbdnk6
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