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Brain-Inspired Computing

Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers

  • Katrin Amunts
  • Lucio Grandinetti
  • Thomas Lippert
  • Nicolai Petkov
Conference proceedings BrainComp 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10087)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10087)

Table of contents

  1. Front Matter
    Pages I-X
  2. Lingzhong Fan, Hai Li, Shan Yu, Tianzi Jiang
    Pages 1-14
  3. Hartmut Mohlberg, Bastian Tweddell, Thomas Lippert, Katrin Amunts
    Pages 15-27
  4. Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Itaru Kitayama, Brian Wylie et al.
    Pages 43-57
  5. Miriam Menzel, Markus Axer, Hans De Raedt, Kristel Michielsen
    Pages 73-85
  6. Tobias Brosch, Stephan Tschechne, Heiko Neumann
    Pages 86-100
  7. Nicola Strisciuglio, Mario Vento, Nicolai Petkov
    Pages 101-115
  8. M. Biehl, D. Mudali, K. L. Leenders, J. B. T. M. Roerdink
    Pages 131-141
  9. Wolfgang A. Halang
    Pages 142-156
  10. Torsten Wolfgang Kuhlen, Bernd Hentschel
    Pages 157-168
  11. Barbara Calabrese, Mario Cannataro
    Pages 169-178
  12. Luis J. Manso, Pablo Bustos, Juan P. Bandera, Adrián Romero-Garcés, Luis V. Calderita, Rebeca Marfil et al.
    Pages 179-193
  13. Back Matter
    Pages 195-195

About these proceedings

Introduction

This book constitutes revised selected papers from the Second International Workshop on Brain-Inspired Computing, BrainComp 2015, held in Cetraro, Italy, in July 2015.
The 14 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with brain structure and function; computational models and brain-inspired computing methods with practical applications; high performance computing; and visualization for brain simulations. 

Keywords

brain-inspired computing cognitive robots computer simulation high performance computing supercomputing canonical neural circuit computational neuroscience connectivity data analysis data storage human brain neuromorphic computing optical flow reproducibility scaling segmentation sentiment analysis social network spiking neuronal network workflow

Editors and affiliations

  • Katrin Amunts
    • 1
  • Lucio Grandinetti
    • 2
  • Thomas Lippert
    • 3
  • Nicolai Petkov
    • 4
  1. 1.Forschungszentrum JülichJülichGermany
  2. 2.University of Calabria RendeItaly
  3. 3.Forschungszentrum JülichJülichGermany
  4. 4.University of Groningen GroningenThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-50862-7
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-50861-0
  • Online ISBN 978-3-319-50862-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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