How activation, entanglement, and searching a semantic network contribute to event memory.

Free-association norms indicate that words are organized into semantic/associative neighborhoods within a larger network of words and links that bind the net together. We present evidence indicating that memory for a recent word event can depend on implicitly and simultaneously activating related wo...

Descripción completa

Detalles Bibliográficos
Publicado en:Memory & Cognition Vol. 41; no. 6; pp. 797 - 820
Autores principales: Nelson, Douglas, Kitto, Kirsty, Galea, David, McEvoy, Cathy, Bruza, Peter
Formato: Artículo
Publicado: Springer Nature Aug2013
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=89241909&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 89241909
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        0090502X
        MEG
      jtl: Memory & Cognition
      issn: 0090502X
      maglogo: N
    pubinfo:
      dt: Aug2013
      vid: 41
      iid: 6
      pid: 237
      pub: Springer Nature
    artinfo:
      ui:
        89241909
        10.3758/s13421-013-0312-y
      ppf: 797
      ppct: 23
      formats:
        fmt:
          @attributes:
            type: P
            size: 752KB
      tig:
        atl: How activation, entanglement, and searching a semantic network contribute to event memory.
      aug:
        au:
          Nelson, Douglas
          Kitto, Kirsty
          Galea, David
          McEvoy, Cathy
          Bruza, Peter
        affil:
          Department of Psychology, University of South Florida, Tampa 33620 USA
          Queensland University of Technology, Brisbane Australia
          School of Aging Studies, University of South Florida, Tampa USA
      su:
        Memory
        Recognition (Psychology)
        Semantics
        Regression analysis
        Research
        Research funding
        Thought & thinking
        Mathematical variables
        Effect sizes (Statistics)
        Prompts (Psychology)
        Descriptive statistics
      sug:
        subj:
          Memory
          Recognition (Psychology)
          Semantics
          Regression analysis
          Research
          Research funding
          Thought & thinking
          Mathematical variables
          Effect sizes (Statistics)
          Prompts (Psychology)
          Descriptive statistics
      keyword:
        Activation
        Extralist cuing
        Priming
        Quantum-like entanglement
        Reminding
        Semantic memory
        Semantic networks
        Word recognition
        Working memory
        Activation
        Extralist cuing
        Priming
        Quantum-like entanglement
        Reminding
        Semantic memory
        Semantic networks
        Word recognition
        Working memory
      ab: Free-association norms indicate that words are organized into semantic/associative neighborhoods within a larger network of words and links that bind the net together. We present evidence indicating that memory for a recent word event can depend on implicitly and simultaneously activating related words in its neighborhood. Processing a word during encoding primes its network representation as a function of the density of the links in its neighborhood. Such priming increases recall and recognition and can have long-lasting effects when the word is processed in working memory. Evidence for this phenomenon is reviewed in extralist-cuing, primed free-association, intralist-cuing, and single-item recognition tasks. The findings also show that when a related word is presented in order to cue the recall of a studied word, the cue activates the target in an array of related words that distract and reduce the probability of the target's selection. The activation of the semantic network produces priming benefits during encoding, and search costs during retrieval. In extralist cuing, recall is a negative function of cue-to-distractor strength, and a positive function of neighborhood density, cue-to-target strength, and target-to-cue strength. We show how these four measures derived from the network can be combined and used to predict memory performance. These measures play different roles in different tasks, indicating that the contribution of the semantic network varies with the context provided by the task. Finally, we evaluate spreading-activation and quantum-like entanglement explanations for the priming effects produced by neighborhood density.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N