Browsing Cognitive & Neural Systems by Author "Carpenter, Gail"

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Browsing Cognitive & Neural Systems by Author "Carpenter, Gail"

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  • Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-09)
    Adaptive resonance is a theory of cognitive information processing which has been realized as a family of neural network models. In recent years, these models have evolved to incorporate new capabilities in the cognitive, ...
  • Carpenter, Gail; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-09)
  • Carpenter, Gail; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-05)
    Adaptive Resonance Theory (ART) is a neural theory of human and primate information processing and of adaptive pattern recognition and prediction for technology. Biological applications to attentive learning of visual ...
  • Shock, Byron; Carpenter, Gail; Gopal, Sucharita; Woodcock, Curtis (Boston University Computer Science Department, 2001-12)
    The ability to detect and monitor changes in land use is essential for assessment of the sustainability of development. In the next decade, NASA will gather high-resolution multi-spectral and multi-temporal data, which ...
  • Parsons, Olga; Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2002-09)
    The Sensor Exploitation Group of MIT Lincoln Laboratory incorporated an early version of the ARTMAP neural network as the recognition engine of a hierarchical system for fusion and data mining of registered geospatial ...
  • Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-03)
    ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include airplane design and manufacturing, automatic target recognition, financial ...
  • Carpenter, Gail; Milenova, Boriana (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-01)
    ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include airplane design and manufacturing, automatic target recognition, financial ...
  • 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 ...
  • Grossberg, Stephen; Carpenter, Gail; Ersoy, Bilgin (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2005-01)
    How do humans and animals learn to recognize objects and events? Two classical views are that exemplars or prototypes are learned. A hybrid view is that a mixture, called rule-plus-exceptions, is learned. None of these ...
  • Chelian, Suhas; Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-10)
  • Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-11)
    In order to benefit from the advantages of localist coding, neural models that feature winner-take-all representations at the top level of a network hierarchy must still solve the computational problems inherent in distributed ...
  • Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-04)
    The default ARTMAP algorithm and its parameter values specified here define a ready-to-use general-purpose neural network system for supervised learning and recognition.
  • Chelian, Suhas; Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2005-03)
    The DISCOV (Dimensionless Shunting Colour Vision) system models a cascade of primate colour vision cells: retinal ganglion, thalamic single opponent, and two classes of cortical double opponents. A unified model fotmalism ...
  • 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 ...
  • 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 ...
  • Carpenter, Gail; Martens, Siegfried; Ogas, Ogi; Rhodes, Bradley (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-12)
    Mapping novel terrain from sparse, complex data often requires the resolution of conflicting information from sensors working at different times, locations, and scales, and from experts with different goals and situations. ...
  • Martens, Siegfried; Gaudiano, Paolo; Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-03)
    The raw sensory input available to a mobile robot suffers from a variety of shortcomings. Sensor fusion can yield a percept more veridical than is available from any single sensor input. In this project, the fuzzy ARTMAP ...
  • Carpenter, Gail; Gopal, Sucharita; Macomber, Scott (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-12)
    This paper describes the application of a neural network method designed to improve the efficiency of map production from remote sensing data. Specifically, the ARTMAP neural network produces vegetation maps of the Sierra ...
  • Carpenter, Gail; Gopal, Sucharita; Shock, Byron; Woodcock, Curtis (Boston University Computer Science Department, 2001-12)
    Detecting and monitoring changes in conditions at the Earth's surface are essential for understanding human impact on the environment and for assessing the sustainability of development. In the next decade, NASA will gather ...
  • Carpenter, Gail; Gopal, Sucharita; Macomber, Scott; Martens, Siegfried; Woodcock, Curtis (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-08)
    While most forest maps identify only the dominant vegetation class in delineated stands, individual stands are often better characterized by a mix of vegetation types. Many land management applications, including wildlife ...

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