The Unfolding Action Model of Initiation Times, Movement Times, and Movement Paths.

Converging evidence has led to a consensus in favor of computational models of behavior implementing continuous information flow and parallel processing between cognitive processing stages. Yet, such models still typically implement a discrete step between the last cognitive stage and motor implemen...

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Publicado en:Psychological Review Vol. 125; no. 5; pp. 785 - 806
Autores principales: Calderon, Cristian Buc, Gevers, Wim, Verguts, Tom
Formato: Artículo
Publicado: American Psychological Association Oct2018
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2018
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      pub: American Psychological Association
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        10.1037/rev0000110
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        atl: The Unfolding Action Model of Initiation Times, Movement Times, and Movement Paths.
      aug:
        au:
          Calderon, Cristian Buc
          Gevers, Wim
          Verguts, Tom
        affil:
          Ghent University and Université Libre de Bruxelles
          Université Libre de Bruxelles
          Ghent University
      su:
        Information processing
        Decision making
      sug:
        subj:
          Information processing
          Decision making
      keyword:
        action selection
        adaptive information processing
        decision-making
        neurocomputational model
        reaching task
        action selection
        adaptive information processing
        decision-making
        neurocomputational model
        reaching task
      ab: Converging evidence has led to a consensus in favor of computational models of behavior implementing continuous information flow and parallel processing between cognitive processing stages. Yet, such models still typically implement a discrete step between the last cognitive stage and motor implementation. This discrete step is implemented as a fixed decision bound that activation in the last cognitive stage needs to cross before action can be initiated. Such an implementation is questionable as it cannot account for two important features of behavior. First, it does not allow to select an action while withholding it until the moment is appropriate for executing it. Second, it cannot account for recent evidence that cognition is not confined prior to movement initiation, but consistently leaks into movement. To address these two features, we propose a novel neurocomputational model of cognitionaction interactions, namely the unfolding action model (UAM). Crucially, the model implements adaptive information flow between the last cognitive processing stage and motor implementation. We show that the UAM addresses the two abovementioned features. Empirically, the UAM accounts for traditional response time data, including positively skewed initiation time distribution, functionally fixed decision bounds and speed-accuracy trade-offs in button-press experimental designs. Moreover, it accounts for movement times, movement paths, and how they are influenced by cognitive-experimental manipulations. This move should close the current gap between abstract decision-making models and behavior observed in natural habitats.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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