The representation of motor (inter)action, states of action, and learning: Three perspectives on motor learning by way of imagery and execution

Frank C, Schack T (2017)
Frontiers in Psychology 8: 678.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
OA 278.45 KB
Abstract / Bemerkung
Learning in intelligent systems is a result of direct and indirect interaction with the environment. While humans can learn by way of different states of (inter)action such as the execution or the imagery of an action, their unique potential to induce brain- and mind-related changes in the motor action system is still being debated. The systematic repetition of different states of action (e.g., physical and/or mental practice) and their contribution to the learning of complex motor actions has traditionally been approached by way of performance improvements. More recently, approaches highlighting the role of action representation in the learning of complex motor actions have evolved and may provide additional insight into the learning process. In the present perspective paper, we build on brain-related findings and sketch recent research on learning by way of imagery and execution from a hierarchical, perceptual-cognitive approach to motor control and learning. These findings provide insights into the learning of intelligent systems from a perceptual-cognitive, representation-based perspective and as such add to our current understanding of action representation in memory and its changes with practice. Future research should build bridges between approaches in order to more thoroughly understand functional changes throughout the learning process and to facilitate motor learning, which may have particular importance for cognitive systems research in robotics, rehabilitation, and sports.
Erscheinungsjahr
2017
Zeitschriftentitel
Frontiers in Psychology
Band
8
Art.-Nr.
678
ISSN
1664-1078
Finanzierungs-Informationen
Article Processing Charge funded by the Deutsche Forschungsgemeinschaft and the Open Access Publication Fund of Bielefeld University.
Page URI
https://pub.uni-bielefeld.de/record/2908131

Zitieren

Frank C, Schack T. The representation of motor (inter)action, states of action, and learning: Three perspectives on motor learning by way of imagery and execution. Frontiers in Psychology. 2017;8: 678.
Frank, C., & Schack, T. (2017). The representation of motor (inter)action, states of action, and learning: Three perspectives on motor learning by way of imagery and execution. Frontiers in Psychology, 8, 678. doi:10.3389/fpsyg.2017.00678
Frank, C., and Schack, T. (2017). The representation of motor (inter)action, states of action, and learning: Three perspectives on motor learning by way of imagery and execution. Frontiers in Psychology 8:678.
Frank, C., & Schack, T., 2017. The representation of motor (inter)action, states of action, and learning: Three perspectives on motor learning by way of imagery and execution. Frontiers in Psychology, 8: 678.
C. Frank and T. Schack, “The representation of motor (inter)action, states of action, and learning: Three perspectives on motor learning by way of imagery and execution”, Frontiers in Psychology, vol. 8, 2017, : 678.
Frank, C., Schack, T.: The representation of motor (inter)action, states of action, and learning: Three perspectives on motor learning by way of imagery and execution. Frontiers in Psychology. 8, : 678 (2017).
Frank, Cornelia, and Schack, Thomas. “The representation of motor (inter)action, states of action, and learning: Three perspectives on motor learning by way of imagery and execution”. Frontiers in Psychology 8 (2017): 678.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Copyright Statement:
This Item is protected by copyright and/or related rights. [...]
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2019-09-06T09:18:42Z
MD5 Prüfsumme
13c7ddd5d28f8243fe208163a4d26d96

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 28588510
PubMed | Europe PMC

Suchen in

Google Scholar