Browsing CAS/CNS Technical Reports by Title

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Browsing CAS/CNS Technical Reports by Title

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  • Boardman, Ian; Cohen, Michael; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    Speech can be understood at widely varying production rates. A working memory is described for short-term storage of temporal lists of input items. The working memory is a cooperative-competitive neural network that ...
  • Gaudiano, Paolo; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-02)
    This article describes neural network models for adaptive control of arm movement trajectories during visually guided reaching and, more generally, a framework for unsupervised real-time error-based learning. The models ...
  • Bullock, D.; Bongers, R.M.; Lankhorst, M.; Beek, P.J. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-08)
    Viapoint (VP) movements are movements to a desired point that are constrained to pass through an intermediate point. Studies have shown that VP movements possess properties, such as smooth curvature around the VP, that are ...
  • Fazl, Arash; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-04)
  • Grossberg, Stephen; Mingolla, Ennio; Ross, William (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-06)
    How the brain generates visual percepts is a central problem in neuroscience. We propose a detailed neural model of how LGN and the interblob cortical stream through V1 and V2 generate context-sensitive perceptual groupings ...
  • 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 ...
  • Sahin, Erol; Gaudiano, Paolo (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-02)
    This paper describes and evaluates visual looming as a method for monocular range estimation. The looming algorithm is based on the relationship between displacements of the observer relative to an object, and the resulting ...
  • Bullock, Daniel; Grossberg, Stephen; Mannes, Christian (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    This article describes the VITEWRITE model for generating handwriting movements. The model consists of a sequential controller, or motor program, that interacts with a trajectory generator to move a hand with redundant ...
  • Ruda, Harald (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-01)
    Badcock & Westheimer (Spatial Vision, 1(1), 3-11, 1985) showed that a thin vertical line induces nearby zones of attraction and repulsion; this study extends those results by more closely examining the horizontal and ...
  • 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 ...
  • Carpenter, Gail A.; Grossberg, Stephen; Lesher, Gregory W. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-09)
    The What-and-Where filter forms part of a neural network architecture for spatial mapping, object recognition, and image understanding. The Where fllter responds to an image figure that has been separated from its background. ...
  • Granger, Eric; Rubin, Mark; Grossberg, Stephen; Lavoie, Pierre (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-09)
    A neural network recognition and tracking system is proposed for classification of radar pulses in autonomous Electronic Support Measure systems. Radar type information is combined with position-specific information from ...
  • Carpenter, Gail A.; Grossberg, Stephen; Lesher, Gregory W. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    A feedforward neural network for invariant image preprocessing is proposed that represents the position1 orientation and size of an image figure (where it is) in a multiplexed spatial map. This map is used to generate an ...
  • Bradski, Gary; Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    A working memory model is described that is capable of storing and recalling arbitrary temporal sequences of events, including repeated items. These memories encode the invariant temporal order of sequential events that ...
  • Bradski, Gary; Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-02)
    Working memory neural networks are characterized which encode the invariant temporal order of sequential events that may be presented at widely differing speeds, durations, and interstimulus intervals. This temporal order ...
  • Bradski, Gary; Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-04)
    Working memory neural networks are characterized which encode the invariant temporal order of sequential events. Inputs to the networks, called Sustained Temporal Order REcurrent (STORE) models, may be presented at widely ...
  • Campos, Marcos; Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-05)
    The WSOM (Wavelet Self-Organizing Map) model, a neural network for the creation of wavelet bases adapted to the distribution of input data, is introduced. The model provides an efficient on-line way to construct high-dimensional ...
  • Lehar, Steven M.; Lesher, Gregory (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    A dynamic distributed model is presented that reproduces the dynamics of a wide range of varied battle scenarios with a general and abstract representation. The model illustrates the rich dynamic behavior that can be ...

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