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Title
  • en Self-Organization with Constraints-A Mathematical Model for Functional Differentiation
Creator
    • en Yamaguti, Yutaka
    • en Watanabe, Hiroshi
Accessrights open access
Rights
Subject
  • Other en self-organization
  • Other en functional differentiation
  • Other en chaotic itinerancy
  • Other en variational principle
  • Other en neuron
  • Other en cortical organization
Description
  • Abstract en This study proposes mathematical models for functional differentiations that are viewed as self-organization with external constraints. From the viewpoint of system development, the present study investigates how system components emerge under the presence of constraints that act on a whole system. Cell differentiation in embryos and functional differentiation in cortical modules are typical examples of this phenomenon. In this paper, as case studies, we deal with three mathematical models that yielded components via such global constraints: the genesis of neuronal elements, the genesis of functional modules, and the genesis of neuronal interactions. The overall development of a system may follow a certain variational principle.
Publisher en MDPI
Date
    Issued2016-02-26
Language
  • eng
Resource Type journal article
Version Type VoR
Identifier HDL http://hdl.handle.net/2115/61903
Relation
  • isIdenticalTo DOI https://doi.org/10.3390/e18030074
Journal
    • PISSN 1099-4300
      • en Entropy
      • Volume Number18 Issue Number3 Page Start74
File
Oaidate 2023-07-26