• DocumentCode
    2767120
  • Title

    Modeling the Evolution of Decision Rules in the Human Brain

  • Author

    Levine, Daniel S.

  • Author_Institution
    Univ. of Texas at Arlington, Arlington
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    625
  • Lastpage
    631
  • Abstract
    A neural network theory is proposed for how the brain develops decision rules about classes of behaviors. The networks proposed for these functions join previous theories of cortical-subcortical interactions involved in specific behavioral patterns; a psychodynamic schema for interacting character dimensions, which influence contextual tendencies toward behavior patterns; and an incipient mathematical theory, using an analog of simulated annealing in a continuous dynamical system, of switches among attractors in personality space. Implications are discussed for change in the course of a person´s life, such as occur in psychotherapy.
  • Keywords
    brain; neural nets; psychology; contextual tendencies; cortical-subcortical interactions; decision rules evolution; human brain; neural network theory; psychodynamic schema; simulated annealing; Animals; Biological neural networks; Bonding; Brain modeling; Genetics; Humans; Neural pathways; Permission; Psychology; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.246741
  • Filename
    1716152