Literature DB >> 21227209

Sequence learning.

B A Clegg1, G J Digirolamo, S W Keele.   

Abstract

The ability to sequence information is fundamental to human performance. When subjects are asked to respond to one of several possible spatial locations of a stimulus, reaction times and error rates decrease when the target follows a sequence. In this article, we review the numerous theoretical and methodological perspectives that have been used to study sequence learning. The opportunity now exists to integrate evidence from different domains of cognitive science to begin to provide a comprehensive account of sequence learning. We suggest that subjects can learn sequences based on different information in a hierarchical representation, including either sequences of stimuli or sequences of responses. This learning can occur both with and without explicit awareness of the sequence. Multiple modes of learning exist and are subserved by different neural circuits.

Entities:  

Year:  1998        PMID: 21227209     DOI: 10.1016/s1364-6613(98)01202-9

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  46 in total

1.  Can sequence learning be implicit? New evidence with the process dissociation procedure.

Authors:  A Destrebecqz; A Cleeremans
Journal:  Psychon Bull Rev       Date:  2001-06

2.  Implicit sequence learning is represented by stimulus-response rules.

Authors:  Hillary Schwarb; Eric H Schumacher
Journal:  Mem Cognit       Date:  2010-09

Review 3.  Representing serial action and perception.

Authors:  Elger L Abrahamse; Luis Jiménez; Willem B Verwey; Benjamin A Clegg
Journal:  Psychon Bull Rev       Date:  2010-10

4.  Intersection of reward and memory in monkey rhinal cortex.

Authors:  Andrew M Clark; Sebastien Bouret; Adrienne M Young; Barry J Richmond
Journal:  J Neurosci       Date:  2012-05-16       Impact factor: 6.167

5.  Stimulus and response chunking in the Hebb Digits task.

Authors:  Geoffrey O'Shea; Benjamin A Clegg
Journal:  Psychol Res       Date:  2005-04-08

6.  The neural correlates of implicit and explicit sequence learning: Interacting networks revealed by the process dissociation procedure.

Authors:  Arnaud Destrebecqz; Philippe Peigneux; Steven Laureys; Christian Degueldre; Guy Del Fiore; Joël Aerts; André Luxen; Martial Van Der Linden; Axel Cleeremans; Pierre Maquet
Journal:  Learn Mem       Date:  2005-09-15       Impact factor: 2.460

7.  Neural correlates of encoding and expression in implicit sequence learning.

Authors:  R D Seidler; A Purushotham; S-G Kim; K Ugurbil; D Willingham; J Ashe
Journal:  Exp Brain Res       Date:  2005-06-18       Impact factor: 1.972

8.  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

9.  Effector-dependent and response location learning of probabilistic sequences in serial reaction time tasks.

Authors:  Natacha Deroost; Inge Zeeuws; Eric Soetens
Journal:  Exp Brain Res       Date:  2005-12-23       Impact factor: 1.972

Review 10.  Neurocognitive basis of implicit learning of sequential structure and its relation to language processing.

Authors:  Christopher M Conway; David B Pisoni
Journal:  Ann N Y Acad Sci       Date:  2008-12       Impact factor: 5.691

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