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  1. A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture.David Pierre Leibovitz - 2013 - Dissertation, Carleton University
    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). -/- ECM indirectly demonstrates the power of unification inherent with Emergic Networks when cognition is decomposed according to finer-grained functions supporting change. These can interact to raise (...)
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  • Visualizing 3D Objects From 2D Cross Sectional Images Displayed in-Situ Versus Ex-Situ.Bing Wu, Roberta L. Klatzky & George Stetten - 2010 - Journal of Experimental Psychology: Applied 16 (1):45-59.
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  • Is Interpolation Cognitively Encapsulated? Measuring the Effects of Belief on Kanizsa Shape Discrimination and Illusory Contour Formation.Brian P. Keane, Hongjing Lu, Thomas V. Papathomas, Steven M. Silverstein & Philip J. Kellman - 2012 - Cognition 123 (3):404-418.
  • Non-Rigid Illusory Contours and Global Shape Transformations Defined by Spatiotemporal Boundary Formation.Gennady Erlikhman, Yang Z. Xing & Philip J. Kellman - 2014 - Frontiers in Human Neuroscience 8.
  • From Flashes to Edges to Objects: Recovery of Local Edge Fragments Initiates Spatiotemporal Boundary Formation.Gennady Erlikhman & Philip J. Kellman - 2016 - Frontiers in Psychology 7.
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  • Mental Visualization of Objects From Cross-Sectional Images.Bing Wu, Roberta L. Klatzky & George D. Stetten - 2012 - Cognition 123 (1):33.
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