Leibovitz, D. P. (2012) Modelling visual processing via emergence. Invited talk presented at the 22nd Annual Meeting of the Canadian Society for Brain, Behaviour and Cognitive Science (CSBBCS) in the Computational understanding of Cognition Symposium. pp. 1-43, Queen’s University, Kingston, Ontario, Canada. [doi: 10.13140/RG.2.1.5141.9368]
Abstract: A model of low level visual processing is outlined along with a demonstration of the numerous phenomena it unifies. Specifically – filling in, visual memory, image stability, color homogeneity, blind spot, temporal edge detection, eye blink – phenomena that would ordinarily be investigated under different sub fields and with disparate models. The model is based on the interaction between recurrence and eye motion. The model is built using the Emergic Network system, which is a new cognitive modeling system created for this project and others like it. Emergic Networks facilitate the exploration of how recurrent and distributed functions produce functional emergent effects. I will present an overview of the Emergic Network System and the simulation results for each phenomena it models.
- Presentation (animated PPTX, 296 MB; static PDF, 6.52 MB)
- CSBBCS 2012 entry for this talk