The Cognitive and Neural Architecture of Sequence Representation.

The authors theorize that 2 neurocognitive sequence-learning systems can be distinguished in serial reaction time experiments, one dorsal (parietal and supplementary motor cortex) and the other ventral (temporal and lateral prefrontal cortex). Dorsal system learning is implicit and associates noncat...

Full description

Bibliographic Details
Published in:Psychological Review Vol. 110; no. 2; pp. 316 - 340
Main Authors: Keele, Steven W., Mayr, Ulrich, Ivry, Richard
Format: Article
Published: American Psychological Association April 2003
Subjects:
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507818123&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 507818123
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        0033295X
        PYV
      jtl: Psychological Review
      issn: 0033295X
      maglogo: N
    pubinfo:
      dt: April 2003
      vid: 110
      iid: 2
      pid: 34
      pub: American Psychological Association
    artinfo:
      ui:
        507818123
        10.1037/0033-295X.110.2.316
      ppf: 316
      ppct: 24
      formats:
      tig:
        atl: The Cognitive and Neural Architecture of Sequence Representation.
      aug:
        au:
          Keele, Steven W.
          Mayr, Ulrich
          Ivry, Richard
      su:
        Reaction time
        Psychology of learning
        Sequential analysis
        Brain function localization
        Cognition
      sug:
        subj:
          Reaction time
          Psychology of learning
          Sequential analysis
          Brain function localization
          Cognition
      keyword: Learning, Psychology of -- Sequential learning
      ab: The authors theorize that 2 neurocognitive sequence-learning systems can be distinguished in serial reaction time experiments, one dorsal (parietal and supplementary motor cortex) and the other ventral (temporal and lateral prefrontal cortex). Dorsal system learning is implicit and associates noncategorized stimuli within dimensional modules. Ventral system learning can be implicit or explicit. It also allows associating events across dimensions and therefore is the basis of cross-task integration or interference, depending on degree of cross-task correlation of signals. Accordingly, lack of correlation rather than limited capacity is responsible for dual-task effects on learning. The theory is relevant to issues of attentional effects on learning; the representational basis of complex, sequential skills; hippocampalversus basal ganglia-based learning; procedural versus declarative memory; and implicit versus explicit memory. Reprinted by permission of the publisher.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N