Leibovitz, D. P. (2013) Invited reviews for ICCM
Leibovitz, D. P. (2013). A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture. (Order No. NR94549, Carleton University (Canada)). ProQuest Dissertations and Theses, pp. xxxii-459. Retrieved from http://search.proquest.com/docview/1437103134?accountid=9894. (1437103134). [doi: 10.13140/RG.2.1.2681.6482] (PDF)
Abstract: The Emergic Cognitive Model (ECM) is a unified computational model of visual filling-in based on the Emergic Network architecture. The Emergic Network was designed to help realize systems undergoing continuous change. In this thesis, eight different filling-in phenomena are demonstrated under a regime of continuous eye movement (and under static eye conditions as well). Continue reading
Abstract: This is supplemental material for the eight cognitive models and forty two tests of a thesis named “A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture”. This supplement contains detailed information about computational test subjects, stimuli, and results. The thesis contains extracts from the information contained herein. The models and tests are listed in the same order as in the thesis and with the same chapter/appendix identifiers. Continue reading
Congratulations to David Pierre Leibovitz, Sarra Ghazel and Tabish Ismail on their successful thesis defenses last week.
On Thursday January 10th, 2013, David Pierre Leibovitz successfully defended his Ph.D. thesis entitled A Unified Cognitive Model of Visual Filling-In. The Chair for his Defense was Dr. Pauline Rankin. His External Examiner was Dr. Gary Cottrell from the University of California, San Diego and his Internal/External Examiner was Dr. Craig Leth Steenson. The members of David’s Committee were Dr. Robert West, Dr. Andre Vellino and Dr. Robert Biddle.
On Friday January 11th, 2013, Sarra Ghazel successfully defended her Ph.D. thesis entitled Cognitive Architectures in Morphological Processing: Acquistion and Attrition. The Chair for her Defense was Dr. Michel Gaulin. Her External Examiner was Dr. Monika Schmid, University of Groningen, The Netherlands and her Internal External Examiner was Dr. Carmen Leblanc. The members of Sarra’s committee were Dr. Laura Sabourin, Dr. Lefevre , Dr John Logan and Dr. Kumiko Murasugi.
On Friday January 11, 2013, Tabish Ismail successfully defended his M.Cog.Sc. thesis entitled Truth in Science. The Chair for his defense was Dr. Deepthi Kamawar. His Internal/External examiner was Dr. David Matheson. The members of Tabish’s committee were Dr. Raj Singh, Dr Robert West and Dr. Eros Corazza. We also wanted to congratulate Tabish as he now officially a Ph.D. Student within the Institute of Cognitive Science!
Congratulations once again to all of you!
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In January, he defended a thesis titled “A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture“. His degree was conferred in May.
Leibovitz, D. P. (2013) A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture [Thesis Defense Presentation], pp. 1-28. Carleton University. [doi: 10.13140/RG.2.1.2603.5687] (pdf)
Abstract: Presented at the defense for a thesis titled “A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture“.
- pdf (3.56 MB)
- ppt (58.1 MB)
Leibovitz, D. P. (2012) Modelling visual processing via emergence. [Abstracts of the 2012 CSBBCS annual meeting]. Canadian Journal of Experimental Psychology, 66(4): 308–308. [abstracts doi: 10.1037/a0029409]
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.
- CSBBCS 2021 Abstract entry
- CSBBCS 2012 Proceedings (PDF 3.34 MB)
- @mendeley.com (all abstracts)