Literature DB >> 21038998

What matters in implicit task sequence learning: perceptual stimulus features, task sets, or correlated streams of information?

Brigitte Weiermann1, Josephine Cock, Beat Meier.   

Abstract

Implicit task sequence learning may be attributed to learning the order of perceptual stimulus features associated with the task sequence, learning a series of automatic task set activations, or learning an integrated sequence that derives from 2 correlated streams of information. In the present study, our purpose was to distinguish among these 3 possibilities. In 4 separate experiments, we replicated and extended a previous study by Heuer, Schmidtke, and Kleinsorge (2001). The presence or absence of a sequence of tasks, as well as that of a sequence of different task-to-response mappings, was manipulated independently within experiments. Evidence of implicit sequence learning was found only when correlated sequences of tasks and mappings were present. No sequence learning effects were found when only a single task sequence or a single mapping sequence was present, even when the structure of the single sequence was identical to the structure of the integrated sequence of task-mapping combinations. These results suggest that implicit task sequence learning is not dependent on either perceptual learning of stimulus features or automatic task-set activation per se. Rather, it appears to be driven by correlated streams of information. (c) 2010 APA, all rights reserved

Mesh:

Year:  2010        PMID: 21038998     DOI: 10.1037/a0021038

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  9 in total

1.  Correlation and response relevance in sequence learning.

Authors:  Josephine Cock; Beat Meier
Journal:  Psychol Res       Date:  2012-07-06

2.  Selective learning enabled by intention to learn in sequence learning.

Authors:  Kaori Miyawaki
Journal:  Psychol Res       Date:  2011-03-09

3.  Abstract sequential task control is facilitated by practice and embedded motor sequences.

Authors:  Juliana E Trach; Theresa H McKim; Theresa M Desrochers
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2021-09-13       Impact factor: 3.051

Review 4.  How Transcranial Direct Current Stimulation Can Modulate Implicit Motor Sequence Learning and Consolidation: A Brief Review.

Authors:  Branislav Savic; Beat Meier
Journal:  Front Hum Neurosci       Date:  2016-02-10       Impact factor: 3.169

5.  Impact of Response Stimulus Interval on Transfer of Non-local Dependent Rules in Implicit Learning: An ERP Investigation.

Authors:  Jianping Huang; Hui Dai; Jing Ye; Chuanlin Zhu; Yingli Li; Dianzhi Liu
Journal:  Front Psychol       Date:  2017-12-06

6.  Testing the Process Dissociation Procedure by Behavioral and Neuroimaging Data: The Establishment of the Mutually Exclusive Theory and the Improved PDP.

Authors:  Jianxin Zhang; Xiangpeng Wang; Jianping Huang; Antao Chen; Dianzhi Liu
Journal:  Front Psychol       Date:  2020-11-26

7.  fMRI Investigation on Gradual Change of Awareness States in Implicit Sequence Learning.

Authors:  Jianping Huang; Yingli Li; Jianxin Zhang; Xiangpeng Wang; Chunlu Huang; Antao Chen; Dianzhi Liu
Journal:  Sci Rep       Date:  2017-12-01       Impact factor: 4.379

8.  No effects of transcranial DLPFC stimulation on implicit task sequence learning and consolidation.

Authors:  Branislav Savic; Dario Cazzoli; René Müri; Beat Meier
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

9.  The ROCK Tool: A Novel Method for the Structural Exploration of Schemata.

Authors:  Bohao Shi; Zhenhui Jiang; Jifan Zhou; Hui Chen
Journal:  Front Psychol       Date:  2021-07-13
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.