Browsing by Subject "Vision"

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Browsing by Subject "Vision"

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  • 3-D Vision and Figure-Ground Separation by Visual Cortex
    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 ...
  • Adaptive Resonance Theory: Self-Organizing Networks for Stable Learning, Recognition, and Prediction
    Carpenter, Gail; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-05)
    Adaptive Resonance Theory (ART) is a neural theory of human and primate information processing and of adaptive pattern recognition and prediction for technology. Biological applications to attentive learning of visual ...
  • Cortical Dynamics of 3-D Vision and Figure-Ground Pop-Out
    Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-07)
  • Cortical Dynamics of Feature Binding and Reset: Control of Visual Persistence
    Francis, Gregory; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-06)
    An analysis of the reset of visual cortical circuits responsible for the binding or segmentation of visual features into coherent visual forms yields a model that explains properties of visual persistence. The reset ...
  • Cortical Dynamics of Visual Motion Perception: Short-Range and Long-Range Apparent Motion
    Grossbergy, Stephen; Rudd, Michael E. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-04)
    This article describes further evidence for a new neural network theory of biological motion perception. The theory clarifies why parallel streams Vl --> V2, Vl --> MT, and Vl --> V2 --> MT exist for static form and motion ...
  • Neural Dynamics of Motion Grouping: From Aperture Ambiguity to Object Speed and Direction
    Chey, Jonathan; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-11)
    A neural network model of visual motion perception and speed discrimination is developed to simulate data concerning the conditions under which components of moving stimuli cohere or not into a global direction of motion, ...
  • A Neural Network Architecture for Figure-ground Separation of Connected Scenic Figures
    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 ...
  • A Solution of the Figure-ground Problem for Biological Vision
    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 ...
  • Synchronized Oscillations During Cooperative Feature Linking in a Cortical Model of Visual Perception
    Grossberg, Stephen; Somers, David (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-06)
    A neural network model of synchronized oscillator activity in visual cortex is presented in order to account for recent neurophysiological findings that such synchronization may reflect global properties of the stimulus. ...