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Browsing CAS/CNS Technical Reports by Issue Date

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Browsing CAS/CNS Technical Reports by Issue Date

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  • Cohen, Michael A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-08-12)
    In this paper, two methods for constructing systems of ordinary differential equations realizing any fixed finite set of equilibria in any fixed finite dimension are introduced; no spurious equilibria are possible for ...
  • Bullock, Daniel; Contreras-Vidal, José (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-10)
    This paper attempts a rational, step-by-step reconstruction of many aspects of the mammalian neural circuitry known to be involved in the spinal cord's regulation of opposing muscles acting on skeletal segments. Mathematical ...
  • 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 ...
  • Mingolla, Ennio; Todd, James T.; Norman, J. Farley (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-12)
    How do human observers perceive a coherent pattern of motion from a disparate set of local motion measures? Our research has examined how ambiguous motion signals along straight contours are spatially integrated to obtain ...
  • Grossberg, Stephen; Merrill, John W. L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-01)
    A neural model is described of how adaptively timed reinforcement learning occurs. The adaptive timing circuit is suggested to exist in the hippocampus, and to involve convergence of dentate granule cells on CA3 pyramidal ...
  • Mannes, Christian (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    This paper describes the design of a self~organizing, hierarchical neural network model of unsupervised serial learning. The model learns to recognize, store, and recall sequences of unitized patterns, using either short-term ...
  • Bullock, Daniel; Grossberg, Stephen; Guenther, Frank (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    A neural network is introduced which provides a solution of the classical motor equivalence problem, whereby many different joint configurations of a redundant manipulator can all be used to realize a desired trajectory ...
  • 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 ...
  • Marti, Leonardo (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    Genetic Algorithms (GAs) make use of an internal representation of a given system in order to perform optimization functions. The actual structural layout of this representation, called a genome, has a crucial impact on ...
  • Marti, Leonardo (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    This paper studies several applications of genetic algorithms (GAs) within the neural networks field. After generating a robust GA engine, the system was used to generate neural network circuit architectures. This was ...
  • Grossberg, Stephen; Guenther, Frank; Bullock, Daniel; Greve, Douglas (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    A neural network model is described for how an invariant head-centered representation of 3-D target position can be autonomously learned by the brain in real time. Once learned, such a target representation may be used to ...
  • Greve, Douglas; Grossberg, Stephen; Guenther, Frank; Bullock, Daniel (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    This article describes how corollary discharges from outflow eye movement commands can be transformed by two stages of opponent neural processing into a head-centered representation of 3-D target position. This representation ...
  • Bullock, Daniel; Contreras-Vidal, José L.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    One of the advantages of biological skeleto-motor systems is the opponent muscle design, which in principle makes it possible to achieve facile independent control of joint angle and joint stiffness. Prior analysis of ...
  • Banquet, Jean-Paul; Contreras-Vidal, José L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    We present a neural network that adapts and integrates several preexisting or new modules to categorize events in short term memory (STM), encode temporal order in working memory, evaluate timing and probability context ...
  • Carpenter, Gail A.; Grossberg, Stephen; Iizuka, Kunihiko (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    This article compares the performance of Fuzzy ARTMAP with that of Learned Vector Quantization and Back Propagation on a handwritten character recognition task. Training with Fuzzy ARTMAP to a fixed criterion used many ...
  • Bradski, Gary (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    This paper demonstrates an optimal control solution to change of machine set-up scheduling based on dynamic programming average cost per stage value iteration as set forth by Cararnanis et. al. [2] for the 2D case. The ...
  • Cohen, Michael A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    We wish to construct a realization theory of stable neural networks and use this theory to model the variety of stable dynamics apparent in natural data. Such a theory should have numerous applications to constructing ...
  • Cruthirds, Dan; Gove, Alan; Grossberg, Stephen; Mingolla, Ennio; Nowak, Nicholas; Williamson, James (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    An improved Boundary Contour System (BCS) and Feature Contour System (FCS) neural network model of preattentive vision is applied to two large images containing range data gathered by a synthetic aperture radar (SAR) sensor. ...
  • Jaskolski, John V. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    A new family of neural network architectures is presented. This family of architectures solves the problem of constructing and training minimal neural network classification expert systems by using switching theory. The ...
  • Cohen, Michael A.; Grossberg, Stephen; Wyse, Lonce (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    This article describes a neural network model capable of generating a spatial representation of the pitch of an acoustic source. Pitch is one of several auditory percepts used by humans to separate multiple sound sources ...

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