Browsing Cognitive & Neural Systems by Author "Mingolla, Ennio"

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Browsing Cognitive & Neural Systems by Author "Mingolla, Ennio"

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  • Cunningham, Robert K.; Beck, Jacob; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-11)
    Visual search is extended from the domain of polygonal figures presented on a uniform background to scenes in which search is for a photo-realistic object in a dense, naturalistic background. Scene generation for these ...
  • Viswanathan, Lavanya; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-03)
    Human observers can track up to five moving targets in a display with ten identical elements (Pylyshyn and Storm, 1988; Yantis, 1992). Previous experiments manipulated element trajectories to prevent intersections of element ...
  • Carpenter, Gail; Martens, Siegfried; Mingolla, Ennio; Ogas, Ogi; Sai, Chaitanya (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-10)
    Ongoing research at Boston University has produced computational models of biological vision and learning that embody a growing corpus of scientific data and predictions. Vision models perform long-range grouping and ...
  • Gove, Alan; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    A neural network model of early visual processing offers an explanation of brightness effects often associated with illusory contours. Top-down feedback from the model's analog of visual cortical complex cells to model ...
  • Gove, Alan; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-11)
    A neural network model is developed to explain how visual thalamocortical interactions give rise to boundary percepts such as illusory contours and surface percepts such as filled-in brightnesses. Top-down feedback ...
  • 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 ...
  • 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 ...
  • Browning, Andrew N.; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2008-12)
    Visually guided navigation through a cluttered natural scene is a challenging problem that animals and humans accomplish with ease. The ViSTARS neural model proposes how primates use motion information to segment objects ...
  • Viswanathan, Lavanya; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-04)
    The allocation of attention in depth is examined using a multi-element tracking paradigm. Observers are required to track a predefined subset of from two to eight elements in displays containing up to sixteen identical ...
  • Berzhanskaya, Julia; Swaminathan, Gurumurthy; Beck, Jacob; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-02)
    The perception of a glossy surface in a static monochromatic image can occur when a bright highlight is embedded in a compatible context of shading and a bounding contour. Some images naturally give rise to the impression ...
  • Pack, Christopher; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-06-04)
    When an expansion flow field of moving dots is overlapped by planar motion, observers perceive an illusory displacement of the focus of expansion (FOE) in the direction of the planar motion (Duffy & Wurtz, 1993. Vision ...
  • 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 ...
  • Lidén, Lars; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-08)
    The influence of monocular occlusion cues on the perceived direction of motion of barber pole patterns is examined. Unlike previous studies that have emphasized the importance of binocular disparity, we find that monocular ...
  • Gruenwald, Alexander; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-08)
    The motion aftereffect (MAE) can be elicited by adapting observers to global motion before they view a display containing no global motion. Experiments y others have shown that if the left eye of an observer is adapted to ...
  • Mingolla, Ennio; Neumann, Heiko; Pessoa, Luiz (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-02)
    A neural network model of brightness perception is developed to account for a wide variety of difficult data, including the classical phenomenon of Mach bands and nonlinear contrast effects associated with sinusoidal ...
  • 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, ...
  • Grossberg, Stephen; Mingolla, Ennio; Viswanathan, Lavanya (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-02)
    A neural model is developed of how motion integration and segmentation processes, both within and across apertures, compute global motion percepts. Figure-ground properties, such as occlusion, influence which motion signals ...
  • 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 ...
  • Chey, Jonathan; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-10)
    A neural network model of visual motion perception and speed discrimination is presented. The model shows how a distributed population code of speed tuning, that realizes a size-speed correlation, can be derived from the ...

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