Browsing CAS/CNS Technical Reports by Title

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Browsing CAS/CNS Technical Reports by Title

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  • Berzhanskaya, Julia; Swaminathan, Gurumurthy; Beck, Jacob; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-02)
    The perception of a glossy surface in a static monochromatic image can occur when a bright highlight is embedded in a compatible context of shading and a bounding contour. Some images naturally give rise to the impression ...
  • Przybyszewski, A.W.; Sucher, N.J.; Grüsser, O.-J. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-01)
    L(+)-, D(-)-, or DL-2-amino-4-phosphonobutyric acid (APB; 2.5- 16 μmol) were injected into the vitreous body of anesthetized adult cats. The retina was stimulated by diffuse square wave light flashes (10- 60 ms). The ...
  • Gonsalves, Paul G.; Snorrason, Magnus; Caglayan, Alper K. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    Training data for supervised learning neural networks can be clustered such that the input/output pairs in each cluster are redundant. Redundant training data can adversely affect training time. In this paper we apply two ...
  • Bullock, Dan; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-02)
    The origin of the tri-phasic burst pattern, observed in the EMGs of opponent muscles during rapid self-terminated movements, has been controversial. Here we show by computer simulation that the pattern emerges from ...
  • Bullock, Daniel; Contreras-Vidal, José L.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    One of the advantages of biological skeleto-motor systems is the opponent muscle design, which in principle makes it possible to achieve facile independent control of joint angle and joint stiffness. Prior analysis of ...
  • Wagner, Robert; Polimeni, Jonathan; Schwartz, Eric (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-12)
    Log-polar image architectures, motivated by the structure of the human visual field, have long been investigated in computer vision for use in estimating motion parameters from an optical flow vector field. Practical ...
  • Carpenter, Gail A.; Govindarajan, Krishna (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    A procedure that uses fuzzy ARTMAP and K-Nearest Neighbor (K-NN) categorizers to evaluate intrinsic and extrinsic speaker normalization methods is described. Each classifier is trained on preprocessed, or normalized, vowel ...
  • Balasubramanian, Mukund; Polimeni, Jonathan R.; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-12)
    We present two algorithms for computing distances along a non-convex polyhedral surface. The first algorithm computes exact minimal-geodesic distances and the second algorithm combines these distances to compute exact ...
  • Araki, Osamu (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-05)
    We can recognize objects through receiving continuously huge temporal information including redundancy and noise, and can memorize them. This paper proposes a neural network model which extracts pre-recognized patterns ...
  • Santini, Fabrizio; Redner, Gabriel; Lovin, Ramon; Rucci, Michele (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2005-09)
    In experimental studies of visual performance, the need often emerges to modify the stimulus according to the eye movements perfonncd by the subject. The methodology of Eye Movement-Contingent Display (EMCD) enables accurate ...
  • Santini, Fabrizio; Redner, Gabriel; Rucci, Michele (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-12)
  • Granger, Eric; Grossberg, Stephen; Rubin, Mark; Streilein, William (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-07)
    The ARTMAP-FD neural network performs both identification (placing test patterns in classes encountered during training) and familiarity discrimination (judging whether a test pattern belongs to any of the classes encountered ...
  • Rubin, Mark (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-02)
    We obtain a bound on the expected error rate of the fuzzy ARTMAP neural network employed as a classifier. This bound is based on leave-one-out estimation of the classification error, and is analogous to a bound on the ...
  • Contreras-Vidal, José L.; Aguilar, Mario (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-05)
    A fast and efficient segmentation algorithm based on the Boundary Contour System/Feature Contour System (BCS/FCS) of Grossberg and Mingolla [3] is presented. This implementation is based on the FFT algorithm and the ...
  • Bradski, Gary; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-08-01)
    The recognition of 3-D objects from sequences of their 2-D views is modeled by a family of self-organizing neural architectures, called VIEWNET, that use View Information Encoded With NETworks. VIEWNET incorporates a ...
  • Yazdanbakhsh, Arash; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-06-08)
    Perceptual grouping is well-known to be a fundamental process during visual perception, notably grouping across scenic regions that do not receive contrastive visual inputs. Illusory contours are a classical example of ...
  • Williamson, James (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-05)
    A model of cortical learning is proposed, which incorporates supervised feedback using two forms of attention: (i) feature-specific attention which allows the network to learn associations between specific feature conjunctions ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-09)
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-02)
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-10)

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