Literature DB >> 9497137

Characteristics of a long-term procedural skill in the monkey.

M K Rand1, O Hikosaka, S Miyachi, X Lu, K Miyashita.   

Abstract

The purpose of this study was to characterize the nature and structure of procedural memory. We have previously studied the process of learning sequential behavioral procedures using monkeys. The monkey's task was to press five consecutive pairs of buttons (indicated by illumination) in the correct order for every pair, which he had to find by trial-and-error in a block of trials. The whole sequence was called a "hyperset"; each pair was called a "set". We first examined whether monkeys learned to perform a hyperset as a single sequence or learned the order of button-presses individually for each set. To answer this question, we generated hypersets that were the same as the hypersets that had been extensively learned except that the order of the sets was reversed. The performance of these "reversed hypersets" was much worse than the performance of the original learned hypersets and was similar to the performance of new hypersets, as regards both the number of errors and the performance time. The result suggests that monkeys learned a hyperset as a sequence. To examine whether the learned performance was specific to the hand used for practice, we had monkeys use the same hand throughout the long-term practice of each hyperset, and then tested the opposite hand. The performance using the opposite hand was worse than the performance using the trained hand, but was better than the performance for new hypersets. This indicates that the memory for the sequential procedure is only partially accessible to the hand that was not used for the practice.

Mesh:

Year:  1998        PMID: 9497137     DOI: 10.1007/s002210050284

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  19 in total

1.  Chunking during human visuomotor sequence learning.

Authors:  Katsuyuki Sakai; Katsuya Kitaguchi; Okihide Hikosaka
Journal:  Exp Brain Res       Date:  2003-07-18       Impact factor: 1.972

2.  Multiple shifts in the representation of a motor sequence during the acquisition of skilled performance.

Authors:  Maria Korman; Naftali Raz; Tamar Flash; Avi Karni
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-06       Impact factor: 11.205

3.  When practice leads to co-articulation: the evolution of geometrically defined movement primitives.

Authors:  Ronen Sosnik; Bjoern Hauptmann; Avi Karni; Tamar Flash
Journal:  Exp Brain Res       Date:  2004-02-26       Impact factor: 1.972

Review 4.  Possible mechanism for transfer of motor skill learning: implication of the cerebellum.

Authors:  Shigeru Obayashi
Journal:  Cerebellum       Date:  2004       Impact factor: 3.847

5.  Distinct basal ganglia territories are engaged in early and advanced motor sequence learning.

Authors:  Stéphane Lehéricy; Habib Benali; Pierre-François Van de Moortele; Mélanie Pélégrini-Issac; Tobias Waechter; Kamil Ugurbil; Julien Doyon
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-17       Impact factor: 11.205

6.  Effects of explicit knowledge of workspace rotation in visuomotor sequence learning.

Authors:  Katsumi Watanabe; Hanako Ikeda; Okihide Hikosaka
Journal:  Exp Brain Res       Date:  2006-05-25       Impact factor: 1.972

Review 7.  Generalization of perceptual and motor learning: a causal link with memory encoding and consolidation?

Authors:  N Censor
Journal:  Neuroscience       Date:  2013-07-12       Impact factor: 3.590

8.  Asymmetrical intermanual transfer of learning in a sensorimotor task.

Authors:  Waldemar Kirsch; Joachim Hoffmann
Journal:  Exp Brain Res       Date:  2010-02-16       Impact factor: 1.972

9.  Time-specific contribution of the supplementary motor area to intermanual transfer of procedural knowledge.

Authors:  Monica A Perez; Satoshi Tanaka; Steven P Wise; Daniel T Willingham; Leonardo G Cohen
Journal:  J Neurosci       Date:  2008-09-24       Impact factor: 6.167

Review 10.  Common mechanisms of human perceptual and motor learning.

Authors:  Nitzan Censor; Dov Sagi; Leonardo G Cohen
Journal:  Nat Rev Neurosci       Date:  2012-09       Impact factor: 34.870

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