Abstracts grouped by Topic

Large scale modeling (12)

  • Bridging the gap between Computational Neuroscience and Systems Biology modelling
    Padraig Gleeson (Department of Neuroscience, Physiology and Pharmacology, UCL, UK), Sharon Crook (School of Mathematical and Statistical Sciences, School of Life Sciences, Center for Adaptive Neural Systems, ASU, USA), Robert Cannon (Textensor Limited, Edinburgh, UK), R Angus Silver (Department of Neuroscience, Physiology and Pharmacology, UCL, UK)
  • Statistical Parametric Networks (SPNs): A Principled Way of Constructing Functional and Anatomical Networks.
    Cedric Ginestet (King's College London), Andrew Simmons (King's College London), Ed Bullmore (University of Cambridge), Thomas E. Nichols (Warwick University)
  • A large-scale whole visual system model integrated by PLATO and its implementation on high performance computer
    Keiichiro Inagaki (RIKEN, Computational science research program), Takayuki Kannon (RIKEN, Brain science institute), Yoshimi Kamiyama (Aichi prefectural university), Shunji Satoh (University of electro-communications), Nilton Kamiji (RIKEN, Brain science institute), Daiki Sone (Aichi prefectural university), Kazuki Urabe (University of electro-communications), Shiro Usui (RIKEN, Brain science institute)
  • PLATO: Platform for integrating large-scale brain model from sub-system models
    Takayuki Kannon (RIKEN Brain science institute), Keiichiro Inagaki (Computational Science Research Program, RIKEN), Nilton Kamiji (RIKEN Brain science institute), Kouji Makimura (RIKEN Brain science institute), Shiro Usui (RIKEN Brain science institute)
  • Cx3Dp: A Parallel Framework for Modeling the Growth and Development of Neural Tissue
    Andreas Hauri (Institute of Neuroinformatics ETHZ/UZH), Rodney Douglas (Institute of Neuroinformatics ETHZ/UZH)
  • A realistic large-scale model of the retinal cone mosaic
    Yoshimi Kamiyama (Information Science and Technology, Aichi Prefectural University), Daiki Sone (Information Science and Technology, Aichi Prefectural University), Shiro Usui (RIKEN Brain Science Institute)
  • Managing Complexity in Multi-Algorithm, Multi-Scale Biological Simulations: An Integrated Software Engineering and Neuroinformatics Approach.
    Giovanni Idili (Department of Computing, Cork Institute of Technology, Cork, Ireland), Matteo Cantarelli (Department of Electric and Electronic Engineering, Università di Cagliari, Cagliari, Italy), Marius Buibas (Department of Bioengineering, University of California, San Diego, La Jolla, CA), Tim Busbice (InterIntelligence Research, Los Angeles, CA), Jay Coggan (Salk Institute, La Jolla, CA), Christian Grove (WormBase, California Institute of Technology, Pasadena CA), Sergey Khayrulin (A.P. Ershov Institute of Informatics Systems SB RAS, Lab. of Complex Systems Simulation, Novosibirsk, Russia), Andrey Palyanov (A.P. Ershov Institute of Informatics Systems SB RAS, Lab. of Complex Systems Simulation, Novosibirsk, Russia), Stephen Larson (Whole Brain Project, University of California, San Diego, La Jolla, CA)
  • LFPy: A tool for simulation of extracellular potentials
    Henrik Linden (Mathematical Sciences and Technology, Norwegian University of Life Sciences), Espen Hagen (Mathematical Sciences and Technology, Norwegian University of Life Sciences), Szymon Leski (Nencki Institute of Experimental Biology, Warsaw, Poland), Eivind S Norheim (Mathematical Sciences and Technology, Norwegian University of Life Sciences), Klas H Pettersen (Mathematical Sciences and Technology, Norwegian University of Life Sciences), Gaute T Einevoll (Mathematical Sciences and Technology, Norwegian University of Life Sciences)
  • A New State of MIIND
    Dave Harrison (University of Leeds), Marc De Kamps (University of Leeds)
  • Learning to see in a virtual world
    Jasmin Leveille (Center of Excellence for Learning in Education, Science, and Technology, Boston University), Gennady Livitz (Center of Excellence for Learning in Education, Science, and Technology, Boston University), Heather Ames (Center of Excellence for Learning in Education, Science, and Technology, Boston University), Ben Chandler (Center of Excellence for Learning in Education, Science, and Technology, Boston University), Anatoli Gorchetchnikov (Center of Excellence for Learning in Education, Science, and Technology, Boston University), Massimiliano Versace (Center of Excellence for Learning in Education, Science, and Technology, Boston University), Ennio Mingolla (Center of Excellence for Learning in Education, Science, and Technology, Boston University), Greg Snider (Hewlett-Packard Laboratories)
  • Scaling of a biophysical neocortical attractor model with Parallel NEURON
    David Silverstein (Royal Institute of Technology, Stockholm Brain Institute), Anders Lansner (Royal Institute of Technology, Stockhom University, Stockholm Brain Institute)
  • Evaluating the Connection-Set Algebra for the neural simulator NEST
    Jochen Martin Eppler (Institute of Neuroscience and Medicine, Computational and Systems Neuroscience (INM-6), Research Center Jülich, Germany), Håkon Enger (Dept. of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, Norway), Thomas Heiberg (Dept. of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, Norway), Birgit Kriener (Dept. of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, Norway), Hans Ekkehard Plesser (Dept. of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, Norway), Markus Diesmann (Institute of Neuroscience and Medicine, Computational and Systems Neuroscience (INM-6), Research Center Jülich, Germany), Mikael Djurfeldt (PDC Center for High Performance Computing , KTH, Stockholm and INCF, Stockholm)
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