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Browsing Cognitive & Neural Systems by Subject "Categorization"

OpenBU

Browsing Cognitive & Neural Systems by Subject "Categorization"

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  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-10)
  • 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 ...
  • Amis, Gregory P.; Carpenter, Gail A.; Ersoy, Bilgin; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2009-03)
    Do humans and animals learn exemplars or prototypes when they categorize objects and events in the world? How are different degrees of abstraction realized through learning by neurons in inferotemporal and prefrontal cortex? ...
  • 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 ...
  • Grossberg, Stephen; Boardman, Ian; Cohen, Michael (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-12)
    What is the neural representation of a speech code as it evolves in real time? A neural model of thiss process, called the ARTPHONE model, is developed to quantitatively simulate data concerning segregation and integration ...
  • Carpenter, Gail A.; Grossberg, Stephen; Rosen, David B. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-08)
    A neural network realization of the fuzzy Adaptive Resonance Theory (ART) algorithm is described. Fuzzy ART is capable of rapid stable learning of recognition categories in response to arbitrary sequences of analog or ...
  • 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 ...

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