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Browsing College of Arts and Sciences by Title

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Browsing College of Arts and Sciences by Title

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  • Fiala, John C.; Grossberg, Stephen; Bullock, Daniel (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-10)
    To understand how the cerebellum adaptively times the classically conditioned nictitating membrane response (NMR), a model of the metabotropic glutamate receptor (mGluR) second messenger system in cerebellar Purkinje cells ...
  • Mulcahy, Seann P.; Evans, Thomas; Rossi, Lauren (2011-07-14)
    Excellent laboratory procedure for a small focused library of dihydropyrimidinones. Good example of a multicomponent reaction performed using microwave irradiation.
  • Klein, Arno; Mensh, Brett; Ghosh, Satrajit; Tourville, Jason; Hirsch, Joy (BioMed Central, 2005-10-5)
    BACKGROUND: To make inferences about brain structures or activity across multiple individuals, one first needs to determine the structural correspondences across their image data. We have recently developed Mindboggle as ...
  • Rucci, Michele; Lovin, Ramon; Poletti, Martina; Santini, Fabrizio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2006-10)
    Our eyes are constantly in motion. Even during visual fixation, small eye movements continually jitter the location of gaze. It is known that visual percepts tend to fade when retinal image motion is eliminated in the ...
  • Marwan, Shaban (Boston University Computer Science Department, 1993-10-26)
    We describe a GB parser implemented along the lines of those written by Fong [4] and Dorr [2]. The phrase structure recovery component is an implementation of Tomita's generalized LR parsing algorithm (described in [10]), ...
  • Lakhina, Anukool; Mark, Crovella; Diot, Christophe (Boston University Computer Science Department, 2005-10-05)
    The increasing practicality of large-scale flow capture makes it possible to conceive of traffic analysis methods that detect and identify a large and diverse set of anomalies. However the challenge of effectively analyzing ...
  • Laoutaris, Nikolaos; Smaragdakis, Georgios; Bestavros, Azer; Ioannis Stavrakakis (Boston University Computer Science Department, 2005-07-07)
    Although cooperation generally increases the amount of resources available to a community of nodes, thus improving individual and collective performance, it also allows for the appearance of potential mistreatment problems ...
  • Bilal, Erhan; Rabadan, Raul; Alexe, Gabriela; Fuku, Noriyuki; Ueno, Hitomi; Nishigaki, Yutaka; Fujita, Yasunori; Ito, Masafumi; Arai, Yasumichi; Hirose, Nobuyoshi; Ruckenstein, Andrei; Bhanot, Gyan; Tanaka, Masashi (Public Library of Science, 2008-6-11)
    We report results from the analysis of complete mitochondrial DNA (mtDNA) sequences from 112 Japanese semi-supercentenarians (aged above 105 years) combined with previously published data from 96 patients in each of three ...
  • Sahin, Erol; Gaudiano, Paolo (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-02)
    This article describes and evaluates visual looming as a monocular range sensing method for mobile robots. The looming algorithm is based on the relationship between the displacement of a camera relative to an object, and ...
  • 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 ...
  • Sclaroff, S.; Pentland, A. (Boston University Computer Science Department, 1995-03)
    Modal matching is a new method for establishing correspondences and computing canonical descriptions. The method is based on the idea of describing objects in terms of generalized symmetries, as defined by each object's ...
  • Myers, Christopher; Cohen, Michael; Eckberg, Dwain; Taylor, J. Andrew (Boston University Computer Science Department, 2001-04)
    Both theoretic models and cross-spectral analyses suggest that an oscillating sympathetic nervous outflow generates the low frequency arterial pressure fluctuations termed Mayer waves. Fluctuations in heart rate also have ...
  • Ulloa, Antonio; Bullock, Daniel; Rhodes, Bradley (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-02)
    We investigated adaptive neural control of precision grip forces during object lifting. A model is presented that adjusts reactive and anticipatory grip forces to a level just above that needed to stabilize lifted objects ...
  • Ajemian, Robert; Bullock, Daniel; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-10)
    Central to the problem of elucidating the cortical mechanisms that mediate movement behavior is an investigation of the coordinate systems by which movement variables are encoded in the firing rates of individual motor ...
  • Gaudiano, Paolo; Zalama, Eduardo; Coronado, Juan Lopez (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-04)
    We have recently introduced a self-organizing adaptive neural controller that learns to control movements of a wheeled mobile robot toward stationary or moving targets, even when the robot's kinematics arc unknown, or when ...
  • Husaine, Fatima; Negishi, Michiro; Cohen, Michael; Guenther, Frank (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-10)
    A number of models of single language vowel classification based on formant representations have been proposed. We propose a new model that explicitly predicts vowel perception by second language (L2) learners based on the ...
  • Snitkin, Evan S; Dudley, Aimée M; Janse, Daniel M; Wong, Kaisheen; Church, George M; Segrè, Daniel (BioMed Central, 2008-09-22)
    An iterative approach that integrates high-throughput measurements of yeast deletion mutants and flux balance model predictions improves understanding of both experimental and computational results. BACKGROUND. Understanding ...
  • Wong, Charles; Versace, Massimiliano (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2009-12-15)
    Financial time series convey the decisions and actions of a population of human actors over time. Econometric and regressive models have been developed in the past decades for analyzing these time series. More recently, ...
  • Okatan, Murat; Cohen, Michael (Boston University Computer Science Department, 2001-03)
    Short-term synaptic depression (STD) refers to the progressive decrease in synaptic efficacy during a spike train. This decrease may be explained in terms of presynaptic and postsynaptic processes, such as a decrease in ...

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