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1000 Titel
  • Effective Part-Task Training as Evidence of Distinct Adaptive Processes with Different Time Scales
1000 Autor/in
  1. Sülzenbrück, Sandra |
  2. Heuer, Herbert |
1000 Erscheinungsjahr 2013
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2013-03-27
1000 Erschienen in
1000 Quellenangabe
  • 8(3): e60196
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2013
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pone.0060196 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3609823/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • For some types of visuo-motor transformations like large visuo-motor rotations or the complex transformation of a sliding first-order lever, distinct adaptive processes have been hypothesized that produce a rapid, discrete approximation of the transformation and a slow, graded fine tuning, respectively. Here we investigate whether part-task training of only the second of these processes, namely the fine tuning, transfers to the subsequent performance in a condition with the full transformation of the sliding first-order lever. Therefore, we compared performance of three groups with different practice conditions during transfer to the full transformation. While two groups only practiced the fine tuning without the right-left inversion of the lever prior to transfer, a third group practiced the full lever transformation. Our results show a positive, but less than perfect transfer of the isolated practice of the fine tuning on performance with the full transformation. For the fine tuning itself, transfer was not reliably different from being perfect. The observation that the fine tuning can be acquired separately and added to the later adaptation to the left-right inversion of the lever supports the notion that these slow and fast processes progress rather independently. The additional finding that the preceding acquisition of the fine tuning also facilitates the subsequent rapid process could be due to generalized learning-to-learn or to a more precise assignment of movement errors to the process from which they originate.
1000 Sacherschließung
lokal Inertia
lokal Moment of inertia
lokal Hands
lokal Musculoskeletal system
lokal Analysis of variance
lokal Anisotropy
lokal Radii
lokal Kinematics
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/U8O8bHplbmJyw7xjaywgU2FuZHJh|http://orcid.org/0000-0002-0488-2878
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft (DFG) |
1000 Fördernummer
  1. HE 1187/16-1
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft (DFG) |
    1000 Förderprogramm -
    1000 Fördernummer HE 1187/16-1
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6404594.rdf
1000 Erstellt am 2017-09-22T12:29:24.440+0200
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1000 Zuletzt bearbeitet Fri Nov 27 13:53:16 CET 2020
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1000 Vgl. frl:6404594
1000 Oai Id
  1. oai:frl.publisso.de:frl:6404594 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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