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Browsing College of Arts and Sciences by Title

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  • Tan, Can Ozan; Anderson, Eric; Dranias, Mark; Bullock, Daniel (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-03)
    Recent electrophysical data inspired the claim that dopaminergic neurons adapt their mismatch sensitivities to reflect variances of expected rewards. This contradicts reward prediction error theory and most basal ganglia ...
  • Yilmaz, Selma; Matta, Ibrahim (Boston University Computer Science Department, 2005-05-25)
    The Border Gateway Protocol (BGP) is the current inter-domain routing protocol used to exchange reachability information between Autonomous Systems (ASes) in the Internet. BGP supports policy-based routing which allows ...
  • Magee, John; Epstein, Samuel; Missimer, Eric; Betke, Margrit (CS Department, Boston University, 2010-09-06)
    Users of mouse-replacement interfaces may have difficulty conforming to the motion requirements of their interfacesystem. We have observed users with severe motor disabilities who controlled the mouse pointer with a head ...
  • Bullock, Daniel (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-09)
    Temporal structure in skilled, fluent action exists at several nested levels. At the largest scale considered here, short sequences of actions that are planned collectively in prefrontal cortex appear to be queued for ...
  • Bullock, Dan; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-02)
    This article describes two neural network modules that form part of an emerging theory of how adaptive control of goal-directed sensory-motor skills is achieved by humans and other animals. The Vector-Integration-To-Endpoint ...
  • Fischl, Bruce; Schwartz, Eric (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-11)
    The goal of many early visual filtering processes is to remove noise while at the same time sharpening contrast. An historical succession of approaches to this problem, starting with the use of simple derivative and smoothing ...
  • Fischl, Bruce; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, )
    Nonlinear anisotropic diffusion algorithms provide a significant improvement in image enhancement for segmentation, when compared to more traditional linear isotropic filters. However, the excessive computational cost of ...
  • Yilmaz, Selma; Matta, Ibrahim (Boston University Computer Science Department, 2005-07-07)
    The Border Gateway Protocol (BGP) is the current inter-domain routing protocol used to exchange reachability information between Autonomous Systems (ASes) in the Internet. BGP supports policy-based routing which allows ...
  • Yoon, Jaehee; Bestavros, Azer; Matta, Ibrahim (Boston University Computer Science Department, 1999-09-15)
    An increasing number of applications, such as distributed interactive simulation, live auctions, distributed games and collaborative systems, require the network to provide a reliable multicast service. This service enables ...
  • Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-09-03)
  • 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, ...
  • Tan, Ah-Hwee (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    This paper introduces a new class of predictive ART architectures, called Adaptive Resonance Associative Map (ARAM) which performs rapid, yet stable heteroassociative learning in real time environment. ARAM can be visualized ...
  • Carpenter, Gail; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-09)
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-10)
  • Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2009-05)
  • 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 ...
  • Fry, Gerald; West, Richard (Boston University Computer Science Department, 2003-11-07)
    Current research on Internet-based distributed systems emphasizes the scalability of overlay topologies for efficient search and retrieval of data items, as well as routing amongst peers. However, most existing approaches ...
  • Chey, Jonathan (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-05)
    An ndaptive tessellation variant of the CMAC architecture is introduced. Adaptive tessellation is an error-based scheme for distributing input representations. Simulations show that the new network outperforms the original ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-12)
    Examples of how LTP and LTD can control adaptively timed learning that modulates attention and motor control are given. It is also suggested that LTP/LTD can also play a role in storing memories. The distinction between ...
  • Byers, John W.; Mitzenmacher, Michael; Zervas, Georgios (Boston University Computer Science Department, 2009-10-10)
    Attributing a dollar value to a keyword is an essential part of running any profitable search engine advertising campaign. When an advertiser has complete control over the interaction with and monetization of each user ...

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