Browsing Cognitive & Neural Systems by Author "Schwartz, Eric L."

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Browsing Cognitive & Neural Systems by Author "Schwartz, Eric L."

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  • 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 ...
  • Tal, Doron; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-09)
    The integrate and fire model (Stein, 1967) provides an analytically tractable formalism of neuronal firing rate in terms of a neuron's membrane time constant, threshold and refractory period. Integrate and fire (IAF) neurons ...
  • 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 ...
  • Bonmassar, Giorgio; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-02)
    Template matching via cross-correlation on Laplacian pyramid image architectures has been traditionally performed in a "coarse" to "fine" fashion. In the present paper, we show that by computing cross-correlation within ...
  • Hinds, Oliver P.; Polimeni, Jonathan R.; Rajendran, Niranjini; Balasubramanian, Mukund; Wald, Lawrence L.; Rosas, H. Diana; Frosch, Matthew P.; Augustinack, Jean C.; Wiggins, Graham; Potthast, Andreas; Fischl, Bruce; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-01-16)
    Previous studies have reported considerable intersubject variability in the three-dimensional geometry of the human primary visual cortex (V1). Here we demonstrate that much of this variability is due to extrinsic geometric ...
  • Fischl, Bruce; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-12-22)
    Multi-scale image enhancement and representation is an important part of biological and machine early vision systems. The process of constructing this representation must be both rapid and insensitive to noise, while ...
  • Fishl, Bruce; Schwartz, Eric L.; Cohen, Michael A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-08)
    Local image structure is widely used in theories of both machine and biological vision. The form of the differential operators describing this structure for space-invariant images has been well documented (e.g. Koenderink, ...
  • Polimeni, Jonathan R.; Balasubramanian, Mukund; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2006-06)
    We propose that a simple, closed-form mathematical expression--the Wedge-Dipole mapping--provides a concise approximation to the full-field, two-dimensional topographic structure of macaque V1, V2, and V3. A single map ...
  • Fischl, Bruce; Schwartz, Eric L.; Cohen, Michael A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-08)
    Many computer and robot vision applications require multi-scale image analysis. Classically, this has been accomplished through the use of a linear scale-space, which is constructed by convolution of visual input with ...
  • Bonmassar, Giorgio; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-02)
    Foveated, log-polar, or space-variant image architectures provide a high resolution and wide field workspace, while providing a small pixel computation load. These characteristics are ideal for mobile robotic and active ...
  • Bonmassar, Giorgio; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-12-22)
    Space-variant sensing is the architectural basis of all higher vertebrate visual systems (Schwartz, 1994). One evident motivation for this is that the space-complexity of the human visual system is reduced by up to four ...
  • Wood, Richard J.; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-10)
    Shear has been known to exist for many years in the topographic structure of prirnary visual cortex, but has received little attention in the modeling literature. Although the topographic map of V1 is largely conformal ...

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