Browsing CAS/CNS Technical Reports by Title

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Browsing CAS/CNS Technical Reports by Title

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  • Cohen, Michael A.; Grossberg, Stephen; Pribe, Christopher A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    A four-channel neural pattern generator is described in which both the frequency and the relative phase of oscillations are controlled by a scalar arousal or GO signal. The generator is used to simulate quadruped gaits; ...
  • Paine, Rainer; Grossberg, Stephen; van Gemmert, Arend (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-10)
    Much sensory-motor behavior develops through imitation, as during the learning of handwriting by children. Such complex sequential acts are broken down into distinct motor control synergies, or muscle groups, whose activities ...
  • Fischl, Bruce; Schwartz, Eric L.; Cohen, Michael A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-08)
    Many computer and robot vision applications require multi-scale image analysis. Classically, this has been accomplished through the use of a linear scale-space, which is constructed by convolution of visual input with ...
  • Bonmassar, Giorgio; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-02)
    Foveated, log-polar, or space-variant image architectures provide a high resolution and wide field workspace, while providing a small pixel computation load. These characteristics are ideal for mobile robotic and active ...
  • Zalana, Eduardo; Gaudiano, Paolo; Coronado, Juan Lopez (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-01)
    This article introduces a real-time, unsupervised neural network that learns to control a two-degree-of-freedom mobile robot in a nonstationary environment. The neural controller, which is termed neural NETwork MObile Robot ...
  • Bradski, Gary; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-01)
    The recognition of 3-D objects from sequences of their 2-D views is modeled by a neural architecture, called VIEWNET that uses View Information Encoded With NETworks. VIEWNET illustrates how several types of noise and ...
  • Worth, Andrew J.; Lehar, Steve; Kennedy, David N. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-10)
    The Grey-White Decision Network is introduced as an application of an on-center, off-surround recurrent cooperative/competitive network for segmentation of magnetic resonance imaging (MRI) brain images. The three layer ...
  • Carpenter, Gail; Milenova, Boriana (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-07)
    Markram and Tsodyks, by showing that the elevated synaptic efficacy observed with single-pulse LTP measurements disappears with higher-frequency test pulses, have critically challenged the conventional assumption that LTP ...
  • Guenther, Frank; Nieto-Castanon, Alfonso; Ghosh, Satrajit; Tourville, Jason (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2002-09)
    We used functional magnetic resonance imaging (fMRI) to investigate the representation of sound categories in human auditory cortex. Experiment 1 investigated the representation of prototypical and non-prototypical examples ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-11)
    The author's model "Chorus embodies an attempt to find out how far a mostly bottom-up approach to representation can be taken" (p. 22). Models which embody both bottom-up and top-down learning have stronger computational ...
  • Grossberg, Stephen; Myers, Christopher (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-01)
    How do listeners integrate temporally distributed phonemic information into coherent representations of syllables and words? During fluent speech perception, variations in the durations of speech sounds and silent pauses ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2002-09)
    What is the neural representation of a speech code as it evolves in time? How do listeners integrate temporally distributed phonemic information across hundreds of milliseconds, even backwards in time, into coherent ...
  • Nieto-Castanon, Alfonso; Ghosh, Satrajit; Tourville, Jason; Guenther, Frank (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2002-09)
    In this technical report, we present fMRI analysis techniques that test functional hypotheses at the region of interest (ROI) level. An SPM-compatible Matlab toolbox has been developed which allows the creation of ...
  • Lesher, Gregory W.; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-04)
    Illusory contours can be induced along directions approximately collinear to edges or approximately perpendicular to the ends of lines. Using a rating scale procedure we explored the relation between the two types of ...
  • Lesher, Gregory W.; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-06)
    Illusory contours can be induced along direction approximately collinear to edges or approximately perpendicular to the ends of lines. Using a rating scale procedure we explored the relation between the two types of inducers ...
  • Rubin, Mark (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-06)
    We describe the ARTEX 2 neural network for recognition of visual textures at arbitrary orientations. ARTEX 2 recognizes visual textures by first passing them through a preprocessing stage which rotates them to a canonical ...
  • Carpenter, Gail A.; Tan, Ah-Hwee (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-02)
    This paper shows how knowledge, in the form of fuzzy rules, can be derived from a supervised learning neural network called fuzzy ARTMAP. Rule extraction proceeds in two stages: pruning, that simplifies the network structure ...
  • Carpenter, Gail A.; Tan, Ah-Hwee (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    This paper shows how knowledge, in the form of fuzzy rules, can be derived from a self-organizing supervised learning neural network called fuzzy ARTMAP. Rule extraction proceeds in two stages: pruning removes those ...
  • Grossberg, Stephen; Olsen, Stephen J. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-02)
    Three computational rules are sufficient to generate model cortical maps that simulate the interrelated structure of cortical ocular dominance and orientation columns: a noise input, a spatial band pass filter, and competitive ...
  • Rhodes, Bradley; Bullock, Daniel (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-09)
    From the dawn of modern neural network theory, the mammalian cerebellum has been a favored object of mathematical modeling studies. Early studies focused on the fan-out, convergence, thresholding, and learned weighting of ...

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