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
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