Original paper
Neural constraints on learning
Abstract
During learning, the new patterns of neural population activity that develop are constrained by the existing network structure so that certain patterns can be generated more readily than others. In a study of the extent to which new patterns of neural activity can be generated through learning, Aaron Batista and colleagues examine neuronal network reorganization in Rhesus macaques learning to control a computer cursor using different patterns of...
Paper Details
Title
Neural constraints on learning
Published Date
Aug 1, 2014
Journal
Volume
512
Issue
7515
Pages
423 - 426
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