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  • The study of controversies is an important methodological tool for understanding key aspects of scientific activity that are invisible from within the science itself. Following Sarah Whatmore, we argue that controversies are a force field within which there is a redistribution of expertise. As an application of the basic principles of ANT, the mapping of controversies lacks the disadvantages of constructivist and epistemological approaches to science. While preserving the validity of scientific facts, it could demonstrate the practice of finding allies and creating new associations in the process of creating science. The analysis of controversies shows that a key feature of neuroscience today is a theoretical "consensus". The most important principle of this "consensus" is the idea of neuroplasticity - the ability of the brain to be changed as a result of new experiences. The use of mapping methods allows us to show that this agreement hides a complex of controversies that touch on the problem of brain plasticity and theoretical models of behaviors. An attempt to explore these controversies reveals various strategies for finding allies within opposing research programs. These competing trends were divided into two groups: proponents of "universal" plasticity, which presupposes general laws for different structural levels of brain organization, and proponents of multiple plasticity. One of the most important strategies for expanding networks used by participants in the study is to reconstruct the history of their own object, as well as to attract non-specialists to obtain the necessary data for research. (xsd:string)
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?:dateModified
  • 2020 (xsd:gyear)
?:datePublished
  • 2020 (xsd:gyear)
?:doi
  • 10.22394/2074-0492-2020-2-183-207 ()
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  • ru (xsd:string)
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  • 2074-0492 ()
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  • 2 (xsd:string)
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  • Картографируя разногласия в нейронауках: пластичный мозг и "анекдотические данные" (xsd:string)
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  • Zeitschriftenartikel (xsd:string)
  • journal_article (en)
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  • GESIS-SSOAR (xsd:string)
  • In: Sociologija vlasti / Sociology of power, 32, 2020, 2, 183-207 (xsd:string)
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  • urn:nbn:de:0168-ssoar-97348-7 ()
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  • 32 (xsd:string)