Hebbian Learning is about contingency, not contiguity, and explains the emergence of predictive mirror neurons
Abstract
Hebbian Learning should not be reduced to contiguity, as it detects contingency and causality. Hebbian Learning accounts of mirror neurons make predictions that differ from associative learning: Through Hebbian Learning, mirror neurons become dynamic networks that calculate predictions and prediction errors and relate to ideomotor theories. The social force of imitation is important for mirror neuron emergence and suggests canalization.
Citation
Keysers , C , Perrett , D I & Gazzola , V 2014 , ' Hebbian Learning is about contingency, not contiguity, and explains the emergence of predictive mirror neurons ' , Behavioral and Brain Sciences , vol. 37 , no. 2 , pp. 205-206 . https://doi.org/10.1017/S0140525X13002343
Publication
Behavioral and Brain Sciences
Status
Peer reviewed
ISSN
0140-525XType
Journal item
Rights
Copyright © Cambridge University Press 2014
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