Literature DB >> 18271739

The what and how of observational learning.

Sara Torriero1, Massimiliano Oliveri, Giacomo Koch, Carlo Caltagirone, Laura Petrosini.   

Abstract

Neuroimaging evidence increasingly supports the hypothesis that the same neural structures subserve the execution, imagination, and observation of actions. We used repetitive transcranial magnetic stimulation (rTMS) to investigate the specific roles of cerebellum and dorsolateral prefrontal cortex (DLPFC) in observational learning of a visuomotor task. Subjects observed an actor detecting a hidden sequence in a matrix and then performed the task detecting either the previously observed sequence or a new one. rTMS applied over the cerebellum before the observational training interfered with performance of the new sequence, whereas rTMS applied over the DLPFC interfered with performance of the previously observed one. When rTMS applied over cerebellar or prefrontal site was delivered after the observational training, no influence was observed on the execution of the task. These results furnish new insights on the neural circuitry involved in the single component of observational learning and allow us to hypothesize that cerebellum and DLPFC interact in planning actions, the former by permitting the acquisition of procedural competencies and the latter by providing flexibility among already acquired solutions.

Mesh:

Year:  2007        PMID: 18271739     DOI: 10.1162/jocn.2007.19.10.1656

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  21 in total

1.  Effect of trial order and error magnitude on motor learning by observing.

Authors:  Liana E Brown; Elizabeth T Wilson; Sukhvinder S Obhi; Paul L Gribble
Journal:  J Neurophysiol       Date:  2010-07-14       Impact factor: 2.714

2.  General motor representations are developed during action-observation.

Authors:  Spencer J Hayes; Digby Elliott; Simon J Bennett
Journal:  Exp Brain Res       Date:  2010-05-26       Impact factor: 1.972

Review 3.  Viewing the Personality Traits Through a Cerebellar Lens: a Focus on the Constructs of Novelty Seeking, Harm Avoidance, and Alexithymia.

Authors:  Laura Petrosini; Debora Cutuli; Eleonora Picerni; Daniela Laricchiuta
Journal:  Cerebellum       Date:  2017-02       Impact factor: 3.847

4.  Learning by observation requires an early sleep window.

Authors:  Ysbrand D Van Der Werf; Els Van Der Helm; Menno M Schoonheim; Arne Ridderikhoff; Eus J W Van Someren
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-02       Impact factor: 11.205

5.  Adaptation of lift forces in object manipulation through action observation.

Authors:  Andreas F Reichelt; Alyssa M Ash; Lee A Baugh; Roland S Johansson; J Randall Flanagan
Journal:  Exp Brain Res       Date:  2013-05-17       Impact factor: 1.972

6.  Sensitivity of the action observation network to physical and observational learning.

Authors:  Emily S Cross; David J M Kraemer; Antonia F de C Hamilton; William M Kelley; Scott T Grafton
Journal:  Cereb Cortex       Date:  2008-05-30       Impact factor: 5.357

Review 7.  Neural Mechanisms of Observational Learning: A Neural Working Model.

Authors:  Weixi Kang; Sònia Pineda Hernández; Jie Mei
Journal:  Front Hum Neurosci       Date:  2021-04-22       Impact factor: 3.169

8.  Motor and linguistic linking of space and time in the cerebellum.

Authors:  Massimiliano Oliveri; Sonia Bonnì; Patrizia Turriziani; Giacomo Koch; Emanuele Lo Gerfo; Sara Torriero; Carmelo Mario Vicario; Laura Petrosini; Carlo Caltagirone
Journal:  PLoS One       Date:  2009-11-20       Impact factor: 3.240

9.  Probing cerebellar involvement in cognition through a meta-analysis of TMS evidence.

Authors:  Daniele Gatti; Luca Rinaldi; Ioana Cristea; Tomaso Vecchi
Journal:  Sci Rep       Date:  2021-07-20       Impact factor: 4.379

10.  Learning by observation: insights from Williams syndrome.

Authors:  Francesca Foti; Deny Menghini; Laura Mandolesi; Francesca Federico; Stefano Vicari; Laura Petrosini
Journal:  PLoS One       Date:  2013-01-10       Impact factor: 3.240

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