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Browsing College of Arts and Sciences by Subject "Perceptual grouping"

OpenBU

Browsing College of Arts and Sciences by Subject "Perceptual grouping"

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  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2006-11)
    The human urge to represent the three-dimensional world using two-dimensional pictorial representations dates back at least to Paleolithic times. Artists from ancient to modern times have struggled to understand how a few ...
  • Yazdanbakhsh, Arash; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-06-08)
    Perceptual grouping is well-known to be a fundamental process during visual perception, notably grouping across scenic regions that do not receive contrastive visual inputs. Illusory contours are a classical example of ...
  • Grossberg, Stephen; Yazdanbakhsh, Arash; Cao, Yongqiang; Swaminathan, Guru (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-07)
    Under natural viewing conditions, a single depthful percept of the world is consciously seen. When dissimilar images are presented to corresponding regions of the two eyes, binocular rivalyr may occur, during which the ...
  • Berzhanskaya, Julia; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-11)
    How do visual form and motion processes cooperate to compute object motion when each process separately is insufficient? A 3D FORMOTION model specifies how 3D boundary representations, which separate figures from backgrounds ...
  • Berzhanskaya, J.; Grossberg, S.; Mingolla, E. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-01)
    How do visual form and motion processes cooperate to compute object motion when each process separately is insufficient? Consider, for example, a deer moving behind a bush. Here the partially occluded fragments of motion ...
  • Grossberg, Stephen (Boston University Computer Science Department, 2001-03)
    A detailed neural model is being developed of how the laminar circuits of visual cortical areas V1 and V2 implement context-sensitive binding processes such as perceptual grouping and attention, and develop and learn in a ...
  • Pinna, Baingio; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2005-03)
    Cognitive and gestalt visions theories consider incompleteness to be a necessmy and sufficient factor for inducing illusory figures. The role of incompleteness is studied herein by defining the inner logic subtended by use ...
  • Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-05)
    A neural network model of global motion segmentation by visual cortex is described. Called the Motion Boundary Contour System (BCS), the model clarifies how ambiguous local movements on a complex moving shape are actively ...
  • Grossberg, Stephen; Kuhlmann, Levin; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2006-03-29)
    A neural model is presented of how cortical areas V1, V2, and V4 interact to convert a textured 2D image into a representation of curved 3D shape. Two basic problems are solved to achieve this: (1) Patterns of spatially ...
  • Léveillé, Jasmin; Versace, Massimiliano; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2009-05)
    Grouping of collinear boundary contours is a fundamental process during visual perception. Illusory contour completion vividly illustrates how stable perceptual boundaries interpolate between pairs of contour inducers, but ...
  • Bhatt, Rushi; Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2006-07-28)
    A neural model is proposed of how laminar interactions in the visual cortex may learn and recognize object texture and form boundaries. The model brings together five interacting processes: region-based texture classification, ...
  • Ross, William; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-06)
    The visual cortex has a laminar organintion whose circuits form functional columns in cortical maps. How this laminar architecture supports visual percepts is not well understood. A neural model proposes how the laminar ...

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