The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective.

We argue that dynamical and mathematical models in systems and cognitive neuroscience explain (rather than redescribe) a phenomenon only if there is a plausible mapping between elements in the model and elements in the mechanism for the phenomenon. We demonstrate how this model-to-mechanism-mapping...

Descripción completa

Detalles Bibliográficos
Publicado en:Philosophy of Science Vol. 78; no. 4; pp. 601 - 628
Autores principales: Kaplan, David Michael, Craver, Carl F.
Formato: Artículo
Publicado: Cambridge University Press Oct2011
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=66164281&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 66164281
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00318248
        PSC
      jtl: Philosophy of Science
      issn: 00318248
      maglogo: N
    pubinfo:
      dt: Oct2011
      vid: 78
      iid: 4
      pid: 15979
      pub: Cambridge University Press
    artinfo:
      ui:
        66164281
        10.1086/661755
      ppf: 601
      ppct: 27
      formats:
        fmt:
          @attributes:
            type: P
            size: 175KB
      tig:
        atl: The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective.
      aug:
        au:
          Kaplan, David Michael
          Craver, Carl F.
        affil:
          Department of Anatomy and Neurobiology, Philosophy-Neuroscience-Psychology Program, Washington University School of Medicine, Box 8108, 660 South Euclid Avenue, Saint Louis, MO 63110
          Department of Philosophy, Philosophy-Neuroscience-Psychology Program, Washington University, St. Louis, 1 Brookings Drive, Wilson Hall, Saint Louis, MO 63130
      su:
        Mathematical models
        Neurosciences
        Gaussian processes
        Paradigm (Theory of knowledge)
        Cognitive science
      sug:
        subj:
          Mathematical models
          Neurosciences
          Gaussian processes
          Paradigm (Theory of knowledge)
          Cognitive science
      ab: We argue that dynamical and mathematical models in systems and cognitive neuroscience explain (rather than redescribe) a phenomenon only if there is a plausible mapping between elements in the model and elements in the mechanism for the phenomenon. We demonstrate how this model-to-mechanism-mapping constraint, when satisfied, endows a model with explanatory force with respect to the phenomenon to be explained. Several paradigmatic models including the Haken-Kelso-Bunz model of bimanual coordination and the difference-of-Gaussians model of visual receptive ?fields are explored.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
      item: Philosophy of Science
      holder: Cambridge University Press
      dt:
        @attributes:
          year: 2011
    holdings:
      @attributes:
        islocal: N