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

C. Keysers, D.I. Perrett, V. Gazzola

Research output: Contribution to journalComment/debatepeer-review

13 Citations (Scopus)
2 Downloads (Pure)

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)205-206
Number of pages2
JournalBehavioral and Brain Sciences
Volume37
Issue number2
DOIs
Publication statusPublished - 29 Apr 2014

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