Hebbian Learning is about contingency, not contiguity, and explains the emergence of predictive mirror neurons

C. Keysers, David I Perrett, Valeria Gazzola

Research output: Contribution to journal/periodicalArticleScientificpeer-review

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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.

Original languageEnglish
Pages (from-to)205-6
Number of pages2
JournalBehavioral and Brain Sciences
Volume37
Issue number2
DOIs
Publication statusPublished - Apr 2014

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