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UNLABELLED We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. An objective anatomical method defines a neocortical volume of 0.29 ± 0.01(More)
This paper presents a technique for computing multiresolution shape models of 3D objects acquired as clouds of 3D points. The procedure is fully automated and is able to compute approximations for any object, overcoming sampling irregularity if present (sampling irregularity is a common feature of most 3D acquisition techniques; a typical example is stereo(More)
—Heterogeneous clusters claim for new models and algorithms. In this paper, a new parallel computational model is presented. The model, based on the LogGP model, has been extended to be able to deal with heterogeneous parallel systems. For that purpose, the LogGP's scalar parameters have been replaced by vector and matrix parameters to take into account the(More)
The main contribution of our work is a technique to accelerate the real-time simulation of deformable objects using a stable finite element method. Our purpose is to construct a preconditioner matrix for the coefficient matrix of the implicit integration scheme based on the global rotation matrix of the object. We describe some required steps to compute an(More)
  • Oscar D Robles, U Rey, Juan C Carlos, Tulipán, Móstoles Madrid, Spain +3 others
This paper presents two new primitives for representing the content of a video in order to be used in a Content-Based Video Retrieval System. The techniques presented here compute first a multiresolution representation using the Haar transform. Two types of signatures are extracted afterwards, one based on multiresolution global color his-tograms and the(More)
Scalability is one of the most important features in exascale computing. Most of this systems are heterogeneous and therefore it becomes necessary to develop models and metrics that take into account this heterogeneity. This paper presents a new expression of the isoefficiency function called H-isoefficiency. This function can be applied for both(More)