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Vague-to-crisp dynamics of percept formation modeled as operant (selectionist) process |
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| Authors: | Roman Ilin Jun Zhang Leonid Perlovsky Robert Kozma |
| Affiliation: | 1. Sensors Directorate, Air Force Research Laboratory, Building 620, Sensors Directorate, WPAFB, OH, USA 2. Department of Psychology, University of Michigan, 530 Church Street, Ann Arbor, MI, USA 3. Sensors Directorate, Air Force Research Laboratory, Building 600, Sensors Directorate, WPAFB, OH, USA 4. Department of Mathematical Sciences, The University of Memphis, 373 Dunn Hall, Memphis, TN, 38152, USA |
| Abstract: | We model the vague-to-crisp dynamics of forming percepts in the brain by combining two methodologies: dynamic logic (DL) and operant learning process. Forming percepts upon the presentation of visual inputs is likened to model selection based on sampled evidence. Our framework utilizes the DL in selecting the correct “percept” among competing ones, but uses an intrinsic reward mechanism to allow stochastic online update in lieu of performing the optimization step of the DL framework. We discuss the connection of our framework with cognitive processing and the intentional neurodynamic cycle. |
| Keywords: | Operant conditioning Operant learning Dynamic logic Mixture models Model selection Intrinsic reward |
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