Browsing College of Arts and Sciences by Title

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Browsing College of Arts and Sciences by Title

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  • Martin, Michael (The New Zealand Association of Rationalists and Humanists, 1996-03)
  • Srihasam, Krishna; Bullock, Daniel; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-11)
    Oculomotor tracking of moving objects is an important component of visually based cognition and planning. Such tracking is achieved by a combination of saccades and smooth pursuit eye movements. In particular, the saccadic ...
  • Crovella, Mark E.; Harchol-Balter, Mor; Murta, Cristina D. (Boston University Computer Science Department, 1997-10-31)
    We consider the problem of task assignment in a distributed system (such as a distributed Web server) in which task sizes are drawn from a heavy-tailed distribution. Many task assignment algorithms are based on the heuristic ...
  • Pilly, Praveen K.; Grossberg, Stephen; Seitz, Aaron R. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2009-6)
    Studies of perceptual learning have focused on aspects of learning that are related to early stages of sensory processing. However, conclusions that perceptual learning results in low-level sensory plasticity are of great ...
  • Bestavros, Azer; Kim, Gitae (Boston University Computer Science Department, 1996-07-15)
    The popularity of TCP/IP coupled with the premise of high speed communication using Asynchronous Transfer Mode (ATM) technology have prompted the network research community to propose a number of techniques to adapt TCP/IP ...
  • Guo, Liang; Crovella, Mark; Matta, Ibrahim (Boston University Computer Science Department, 2000-07-03)
    Long-range dependence has been observed in many recent Internet traffic measurements. Previous studies have shown that there is a close relationship between heavy-tailed distribution of various traffic parameters and the ...
  • Gschwendter, Thomas (Boston University Computer Science Department, 2000-05-12)
    This thesis presents a framework for aggregated congestion management for TCP flows and shows how to integrate such an approach in an existing TCP protocol stack. The thesis presents an initial implementation of this ...
  • Jin, Shudong; Guo, Liang; Matta, Ibrahim; Bestavros, Azer (Boston University Computer Science Department, 2001-05-08)
    The increased diversity of Internet application requirements has spurred recent interests in flexible congestion control mechanisms. Window-based congestion control schemes use increase rules to probe available bandwidth, ...
  • Barman, Dhiman; Matta, Ibrahim; Altman, Eitan; El Azouzi, Rachid (Boston University Computer Science Department, 2003-12-03)
    TCP performance degrades when end-to-end connections extend over wireless connections-links which are characterized by high bit error rate and intermittent connectivity. Such link characteristics can significantly degrade ...
  • Mattar, Karim; Sridharan, Ashwin; Zang, Hui; Matta, Ibrahim; Bestavros, Azer (Boston University Computer Science Department, 2006-10-25)
    Modern cellular channels in 3G networks incorporate sophisticated power control and dynamic rate adaptation which can have significant impact on adaptive transport layer protocols, such as TCP. Though there exists studies ...
  • Mattar, Karim Abdel Magid (Boston University Computer Science Department, 2007)
    Modern cellular channels in 3G networks incorporate sophisticated power control and dynamic rate adaptation which can have a significant impact on adaptive transport layer protocols, such as TCP. Though there exists studies ...
  • Lindholm, Charles (2012-07-09)
  • Ammerman, Nancy T. (Review of Religious Reserach, 1994-06-01)
  • Rinkus, Gerard J. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-05)
    The problem of representing large sets of complex state sequences (CSSs)-i.e. sequences in which states can recur multiple times--has thus far resisted solution. This paper describes a novel neural network model, TEMECOR, ...
  • Grossberg, Stephen; Grunewald, Alexander (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-06)
    A neural model is developed to probe how corticogeniculate feedback may contribute to the dynamics of binocular vision. Feedforward and feedback interactions among retinal, lateral geniculate, and cortical simple and complex ...
  • Grossberg, Stephen; Gruenwald, Alexander (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-07)
    A neural model of binocular vision is developed to simulate psychophysical and neurobiological data concerning the dynamics of binocular disparity processing. The model shows how feedforward and feedback interactions among ...
  • Grossberg, Stephen; Pilly, Praveen K. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2008-02)
    How does the brain make decisions? Speed and accuracy of perceptual decisions covary with certainty in the input, and correlate with the rate of evidence accumulation in parietal and frontal cortical "decision neurons." A ...
  • Roopun, Anita K.; Kramer, Mark A.; Carracedo, Lucy M.; Kaiser, Marcus; Davies, Ceri H.; Traub, Roger D.; Kopell, Nancy J.; Whittington, Miles A. (Frontiers Research Foundation, 2008-12-15)
    Multiple local neuronal circuits support different, discrete frequencies of network rhythm in neocortex. Relationships between different frequencies correspond to mechanisms designed to minimise interference, couple activity ...
  • Jin, Shudong; Bestavros, Azer (Boston University Computer Science Department, 1999-10-10)
    Temporal locality of reference in Web request streams emerges from two distinct phenomena: the popularity of Web objects and the {\em temporal correlation} of requests. Capturing these two elements of temporal locality is ...
  • Bhatt, Rushi; Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2006-07-28)
    A neural model is proposed of how laminar interactions in the visual cortex may learn and recognize object texture and form boundaries. The model brings together five interacting processes: region-based texture classification, ...

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