The reactivation of learned material during slow oscillation/sleep spindle complexes, and the precision of SO-spindle coupling predicts how strong a memory will be reactivated in the brain.
Combining brain imaging data with machine learning, researchers make new discoveries about how the brain controls the hand. The findings could lead to the development of more advanced neuroprosthetics. from Neuroscience News https://ift.tt/3tv7BbC
The reactivation of learned material during slow oscillation/sleep spindle complexes, and the precision of SO-spindle coupling predicts how strong a memory will be reactivated in the brain.
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