Vague-to-crisp dynamics of percept formation modeled as operant (selectionist) process

• Published in: Cognitive neurodynamics Vol. 8; no. 1; pp. 71 - 80
• Main Authors: Ilin, Roman, Zhang, Jun, Perlovsky, Leonid, Kozma, Robert
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01-02-2014; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Biochemistry; Biomedical and Life Sciences; Biomedicine; Brief Communication; Cognitive ability; Cognitive Psychology; Computer Science; Information processing; Neurosciences; Operant conditioning; Parameter estimation; Probability; Stochasticity; Operant conditioning; Dynamic logic; Operant learning; Model selection; Intrinsic reward; Mixture models
• ISSN: 1871-4080; 1871-4099
• DOI: 10.1007/s11571-013-9262-0

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.