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Browsing Cognitive & Neural Systems by Subject "Filling-in"

OpenBU

Browsing Cognitive & Neural Systems by Subject "Filling-in"

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  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-05)
    A neural network theory of :3-D vision, called FACADE Theory, is described. The theory proposes a solution of the classical figure-ground problem for biological vision. It does so by suggesting how boundary representations ...
  • Carpenter, Gail A.; Gaddam, Chaitanya Sai; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-09)
    CONFIGR (CONtour FIgure GRound) is a computational model based on principles of biological vision that completes sparse and noisy image figures. Within an integrated vision/recognition system, CONFIGR posits an initial ...
  • Pessoa, Luiz; Mingolla, Ennio; Neumann, Heiko (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-05)
    A neural network model of brightness perception is developed to account for a wide variety of data, including the classical phenomenon of Mach bands, low- and high-contrast missing fundamental, luminance staircases, and ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-05)
    This article develops the FACADE theory of 3-D vision and figure-ground separation to explain data concerning how 2-D pictures give rise to 3-D percepts of occluding and occluded objects. These percepts include pop-out of ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-07)
  • Grossberg, Stephen; Swaminathan, Gurumurthy (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-01)
    A model of laminar visual cortical dynamics proposes how 3D boundary and surface representations of slated and curved 3D objects and 2D images arise. The 3D boundary representations emerge from interactions between ...
  • Pessoa, Luiz (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-06)
    Mach bands are illusory bright and dark bands seen where a luminance plateau meets a ramp, as in half-shadows or penumbras. Ratliff, Milkman, and Kaufman (1983) showed that Mach bands are attenuated by placing stimuli, ...
  • Pessoa, Luiz (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-03)
    Mach bands are illusory bright and dark bands seen where a luminance plateau meets a ramp, as in half-shadows or penumbras. A tremendous amount of work has been devoted to studying the psychophysics and the potential ...
  • 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 ...
  • Grossberg, Stephen; Hong, Simon (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-08)
    This article develops a neural model of how the visual system processes natural images under variable illumination conditions to generate surface lightness percepts. Previous models have clarified how the brain can compute ...
  • Grossbergy, Stephen; Wyse, Lonce (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-05)
    A neural network model, called an FBF network, is proposed for automatic parallel separation of multiple image figures from each other and their backgrounds in noisy grayscale or multi-colored images. The figures can then ...
  • Grossberg, Stephen; Williamson, James (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-01)
    A self-organizing ARTEX model is developed to categorize and classify textured image regions. ARTEX specializes the FACADE model of how the visual cortex sees, and the ART model of how temporal and prefrontal cortices ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-10)
    A neural network model of 3-D visual perception and figure-ground separation by visual cortex is introduced. The theory provides a unified explanation of how a 2-D image may generate a 3-D percept; how figures pop-out from ...
  • Grossberg, Stephen; Pessoa, Luiz (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-08)
    A widespread view is that most of texture segregation can be accounted for by differences in the spatial frequency content of texture regions. Evidence from both psychophysical and physiological studies indicate, however, ...
  • Pinna, Baingio; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2005-01)
    Coloration and figural properties of neon color spreading and the watercolor illusion are studied using phenomenal and psychophysical observations. Coloration properties of both effects can be reduced to a common limiting ...

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