Watch and learn: the cognitive neuroscience of learning from others' actions

Ramsey, R., Kaplan, D. M. and Cross, E. S. (2021) Watch and learn: the cognitive neuroscience of learning from others' actions. Trends in Neurosciences, (doi: 10.1016/j.tins.2021.01.007) (PMID:33637286)

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Abstract

The mirror neuron system has dominated understanding of observational learning from a cognitive neuroscience perspective. Our review highlights the value of observational learning frameworks that integrate a more diverse and distributed set of cognitive and brain systems, including those implicated in sensorimotor transformations, as well as in more general processes such as executive control, reward, and social cognition. We argue that understanding how observational learning occurs in the real world will require neuroscientific frameworks that consider how visuomotor processes interface with more general aspects of cognition, as well as how learning context and action complexity shape mechanisms supporting learning from watching others.

Item Type:Articles
Keywords:Human mirror neuron system, motor learning, motor system, observational learning, real-world neuroscience, reward, social cognition.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Cross, Professor Emily
Authors: Ramsey, R., Kaplan, D. M., and Cross, E. S.
College/School:College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology
Journal Name:Trends in Neurosciences
Publisher:Elsevier (Cell Press)
ISSN:0166-2236
ISSN (Online):1878-108X
Published Online:23 February 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Trends in Neurosciences 2021
Publisher Policy:Reproduced under a Creative Commons licence

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
303930SOCIAL ROBOTSEmily CrossEuropean Research Council (ERC)677270NP - Centre for Neuroscience
304215Philip Leverhulme Prize - ECEmily CrossLeverhulme Trust (LEVERHUL)PLP-2018-152NP - Centre for Neuroscience