• DocumentCode
    2496719
  • Title

    An integrated computational model of the two phase theory of classical conditioning

  • Author

    Inderbitzin, Martin ; Herreros-Alonso, Ivan ; Verschure, Paul F.M.J.

  • Author_Institution
    SPECS, Univ. Pompeu Fabra, Barcelona, Spain
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    According to Konorski´s two phase theory of conditioning the associative processes underlying classical conditioning can be separated into a fast valence driven nonspecific learning systems (NLS) and a slow specific learning system (SLS). The theory states that the NLS elicits a non-specific state of arousal and that the SLS is responsible for the exact elicitation of a coordinated motor response. Based on biological evidence we propose the amygdala, the basal forebrain and the auditory cortex as an example of NLS and the cerebellum for the SLS. The performance of the model was tested applying the eye-blink paradigm of classical conditioning. The unconditioned stimulus induced amygdala stimulation of the nucleus basalis elicits plasticity in the NLS. This leads to an increased representation if the conditioned stimulus in the cortex. The plasticity of the cerebellar SLS is regulated by these increased cortical representation coding the behavioral importance of the conditioned stimulus. Here we provide a complete account of Konorskis proposal by integrating these two systems into a complete biologically-grounded computational model of the two-phase theory of classical conditioning.
  • Keywords
    neurophysiology; associative process conditioning; biologically-grounded computational model; classical conditioning theory; cortical representation coding; eye-blink paradigm; nonspecific learning systems; nucleus basalis; specific learning system; Brain modeling; Chromium; Computer architecture; Induction motors; Learning systems; Microprocessors; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2010 International Joint Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-6916-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2010.5596874
  • Filename
    5596874