A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture (Doctoral dissertation)

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). [doi10.13140/RG.2.1.2681.6482] (PDF)

Leibovitz (2013) ThesisAbstract: 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

A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture [Thesis Defense Presentation]

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)

Leibovitz (2012) Thesis IntroductionAbstract: Presented at the defense for a thesis titled “A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture“.

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