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

Autor: Elian de Kleine, Willem B. Verwey, Marit F L Ruitenberg, Elger L. Abrahamse
Přispěvatelé: Faculty of Behavioural, Management and Social Sciences
Rok vydání: 2012
Předmět:
Cognitive model
Computer science
motor skill
Social Sciences
Review Article
MOVEMENT SEQUENCES
automaticity
050105 experimental psychology
Dual Process Models
Task (project management)
lcsh:RC321-571
03 medical and health sciences
Behavioral Neuroscience
BASAL GANGLIA
WORKING-MEMORY
0302 clinical medicine
Human–computer interaction
STIMULUS-RESPONSE COMPATIBILITY
0501 psychology and cognitive sciences
REACTION-TIME
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Biological Psychiatry
Digital signal processing
Motor skill
Sequence
sequence learning
business.industry
PRIMARY MOTOR CORTEX
HIERARCHICAL CONTROL
05 social sciences
Cognition
DUAL (cognitive architecture)
Psychiatry and Mental health
automated behavior
Neuropsychology and Physiological Psychology
Neurology
INTEGRATED THEORY. motor skill
Automated behaviour
CHOICE-REACTION TASK
Sequence learning
Artificial intelligence
FAMILIAR KEYING SEQUENCES
business
030217 neurology & neurosurgery
Neuroscience
Zdroj: Frontiers in Human Neuroscience
Frontiers in Human Neuroscience, Vol 7 (2013)
Frontiers in human neuroscience, 7(82):82. Frontiers Research Foundation
FRONTIERS IN HUMAN NEUROSCIENCE
ISSN: 1662-5161
Popis: 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, 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 dual processor model.
Databáze: OpenAIRE