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Browsing Cognitive & Neural Systems by Title

OpenBU

Browsing Cognitive & Neural Systems by Title

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  • Fuzzy ART 
    Carpenter, Gail A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-12-15)
    Adaptive Resonance Theory (ART) models are real-time neural networks for category learning, pattern recognition, and prediction. Unsupervised fuzzy ART and supervised fuzzy ARTMAP synthesize fuzzy logic and ART networks ...
  • Carpenter, Gail A.; Gjaja, Marin N. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-12)
    Adaptive Resonance Theory (ART) models are real-time neural networks for category learning, pattern recognition, and prediction. Unsupervised fuzzy ART and supervised fuzzy ARTMAP networks synthesize fuzzy logic and ART ...
  • Carpetner, Gail A.; Grossberg, Stephen; Rosen, David B. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-02)
    The Fuzzy ART system introduced herein incorporates computations from fuzzy set theory into ART 1. For example, the intersection (n) operator used in ART 1 learning is replaced by the MIN operator (A) of fuzzy set theory. ...
  • Carpenter, Gail; Grossberg, Stephen; Rosen, David (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-06)
    A Fuzzy ART model capable of rapid stable learning of recognition categories in response to arbitrary sequences of analog or binary input patterns is described. Fuzzy ART incorporates computations from fuzzy set theory ...
  • Carpenter, Gail A.; Grossberg, Stephen; Reynolds, John H. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-10)
    An incremental, nonparametric probability estimation procedure using the fuzzy ARTMAP neural network is introduced. In slow-learning mode, fuzzy ARTMAP searches for patterns of data on which to build ever more accurate ...
  • Carpenter, Gail A.; Grossberg, Stephen; Reynolds, John H. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    A nonparametric probability estimation procedure using the fuzzy ARTMAP neural network is here described. Because the procedure does not make a priori assumptions about underlying probability distributions, it yields ...
  • Carpenter, Gail A.; Grossberg, Stephen; Markuzon, Natalya; Reynolds, John H.; Rosen David B. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-08)
    A new neural network architecture is introduced for incremental supervised learning of recognition categories and multidimensional maps in response to arbitrary sequences of analog or binary input vectors. The architecture, ...
  • Przybyszewski, Andrzej W.; Rubin, Mark A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-05)
    Anatomical studies have documented massive back-projections from higher to lower visual cortices and to the lateral geniculate nucleus (LGN). The large number of synapses from these sources suggest that they should have a ...
  • Williamson, James R. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-02)
    A new neural network architecture for incremental supervised learning of analalog multidimensional maps is introduced. The architecture, called Gaussian ARTMAP, is a synthesis of a Gaussian classifier and an Adaptive ...
  • 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 ...
  • 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 ...
  • Lehar, Steven (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    A neural network model is presented to account for the three dimensional perception of visual space by way of an analog Gestalt-like perceptual mechanism.
  • Chey, Jonathan; Mingnolla (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-10)
    How is the perceived direction of motion of a target affected by the motion of multiple surrounding regions? Observers viewed displays consisting of three nested regions, a circular target region surrounded by two concentric ...
  • Kopco, Norbert; Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-03)
    This study presents an analysis of a modified ARTMAP neural network in which a graded signal function replaces the standard choice-by-difference function. The modifications are introduced mathematically and the performance ...
  • Grady, Leo; Schwartz, Eric (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-11)
  • Mhatre, Himanshu; Gorchetchnikov, Anatoli; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2009-12-15)
    Grid cells in the dorsal segment of the medial entorhinal cortex (dMEC) show remarkable hexagonal activity patterns, at multiple spatial scales, during spatial navigation. How these hexagonal patterns arise has excited ...
  • Gancarz, Gregory (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-01)
    We introduce a novel method for shape-based image database search that uses saccadic targeting for local feature choice. A simulated multiresolution sensor is directed toward salient regions of an image in a series of ...
  • Przybyszewski, A.W>; Linsay, P.S.; Gaudiano, P.; Wilson, C.M. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-09)
    An electronic circuit consisting of coupled nonlinear oscillators⁴'⁵ simulates the spatiotemporal processing in retina. Complex behavior recorded in vivo from ganglion cells in the cat retina 6 in response to flickering ...
  • Okatan, Murat (Frontiers Research Foundation, 2010-02-03)
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-11-22)

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