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  1. Perception of partly occluded objects in infancy* 1.Philip J. Kellman & Elizabeth S. Spelke - 1983 - Cognitive Psychology 15 (4):483–524.
    Four-month-old infants sometimes can perceive the unity of a partly hidden object. In each of a series of experiments, infants were habituated to one object whose top and bottom were visible but whose center was occluded by a nearer object. They were then tested with a fully visible continuous object and with two fully visible object pieces with a gap where the occluder had been. Pattems of dishabituation suggested that infants perceive the boundaries of a partly hidden object by analyzing (...)
     
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  2. Perceptual Learning Modules in Mathematics: Enhancing Students' Pattern Recognition, Structure Extraction, and Fluency.Philip J. Kellman, Christine M. Massey & Ji Y. Son - 2010 - Topics in Cognitive Science 2 (2):285-305.
  3. Perceptual learning and the technology of expertise.Philip J. Kellman, Christine Massey, Zipora Roth, Timothy Burke, Joel Zucker, Amanda Saw, Katherine E. Aguero & Joseph A. Wise - 2008 - Pragmatics and Cognition 16 (2):356-405.
    Learning in educational settings most often emphasizes declarative and procedural knowledge. Studies of expertise, however, point to other, equally important components of learning, especially improvements produced by experience in the extraction of information: Perceptual learning. Here we describe research that combines principles of perceptual learning with computer technology to address persistent difficulties in mathematics learning. We report three experiments in which we developed and tested perceptual learning modules to address issues of structure extraction and fluency in relation to algebra and (...)
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    Object Interpolation in Three Dimensions.Philip J. Kellman, Patrick Garrigan & Thomas F. Shipley - 2005 - Psychological Review 112 (3):586-609.
  5. Perceptual learning.Philip J. Kellman - 2002 - In J. Wixted & H. Pashler (eds.), Stevens' Handbook of Experimental Psychology. Wiley.
     
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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.
  7.  6
    Interpolation processes in object perception: Reply to Anderson (2007).Philip J. Kellman, Patrick Garrigan, Thomas F. Shipley & Brian P. Keane - 2007 - Psychological Review 114 (2):488-502.
  8.  22
    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.
  9. For deep networks, the whole equals the sum of the parts.Philip J. Kellman, Nicholas Baker, Patrick Garrigan, Austin Phillips & Hongjing Lu - 2023 - Behavioral and Brain Sciences 46:e396.
    Deep convolutional networks exceed humans in sensitivity to local image properties, but unlike biological vision systems, do not discover and encode abstract relations that capture important properties of objects and events in the world. Coupling network architectures with additional machinery for encoding abstract relations will make deep networks better models of human abilities and more versatile and capable artificial devices.
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    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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    Finding the Pope in the pizza: Abstract invariants and cognitive constraints on perceptual learning.John E. Hummel & Philip J. Kellman - 1998 - Behavioral and Brain Sciences 21 (1):30-30.
    Schyns, Goldstone & Thibaut argue that categorization experience results in the learning of new perceptual features that are not derivable from the learner's existing feature set. We explore the meaning and implications of this “nonderivability” claim and relate it to the question of whether perceptual invariants are learnable, and if so, what might be entailed in learning them.
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    Postscript: Identity and constraints in models of object formation.Philip J. Kellman, Patrick Garrigan, Thomas F. Shipley & Brian P. Keane - 2007 - Psychological Review 114 (2):502-508.
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