Control of automated behavior: insights from the discrete sequence production task

被引:121
作者
Abrahamse, Elger L. [1 ]
Ruitenberg, Marit F. L. [2 ]
de Kleine, Elian [2 ]
Verwey, Willem B. [2 ]
机构
[1] Univ Ghent, Dept Expt Psychol, B-9000 Ghent, Belgium
[2] Univ Twente, Dept Cognit Psychol & Ergon, NL-7500 AE Enschede, Netherlands
关键词
motor skill; sequence learning; automated behavior; STIMULUS-RESPONSE COMPATIBILITY; BASAL GANGLIA; MOVEMENT SEQUENCES; REACTION-TIME; WORKING-MEMORY; HIERARCHICAL CONTROL; INTEGRATED THEORY; KEYING SEQUENCES; MOTOR SEQUENCES; PERFORMANCE;
D O I
10.3389/fnhum.2013.00082
中图分类号
Q189 [神经科学];
学科分类号
071006 [神经生物学];
摘要
Work with the discrete sequence production (DSP) task has provided a substantial literature on discrete sequencing skill over the last decades. The purpose of the current article is to provide a comprehensive overview of this literature and of the theoretical progress that it has prompted. We start with a description of the DSP task and the phenomena that are typically observed with it. Then we propose a cognitive model, the dual processor model (DPM), which explains performance of (skilled) discrete key-press sequences. Key features of this model are the distinction between a cognitive processor and a motor system (i.e., motor buffer and motor processor), the interplay between these two processing systems, and the possibility to execute familiar sequences in two different execution modes. We further discuss how this model relates to several related sequence skill research paradigms and models, and we outline outstanding questions for future research throughout the paper. We conclude by sketching a tentative neural implementation of the DPM.
引用
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页数:16
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