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‘SNN3DViewer’ - 3D Visualization Tool for Spiking Neural Network Analysis

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Computer Vision and Graphics (ICCVG 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5337))

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Abstract

We present a specialized visualization system dedicated to support analysis of dynamical processes in large spiking neural networks. The key features of the considered system are: clarity of visual representation, easy accessibility of multiple views and parameters related to the network analysis, advanced and flexible GUI and the system interoperability. In this paper we focus specifically on the implementation issues related to the network 3D representation, design of the graphical objects, visualisation functions and system performance.

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References

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Author information

Authors and Affiliations

  1. Institute of Control and Information Engineering, Poznan University of Technology, Poland

    Andrzej Kasiński, Juliusz Pawłowski & Filip Ponulak

  2. Bernstein Center for Computational Neuroscience, Albert-Ludwigs University Freiburg, Germany

    Filip Ponulak

Authors
  1. Andrzej Kasiński
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  2. Juliusz Pawłowski
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  3. Filip Ponulak
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Księcia Trojdena 4, 02-109, Warsaw, Poland

    Juliusz L. Kulikowski

  3. Polish-Japanese Institute of Information Technology, The Silesian University of Technology, Institute of Computer Science, 86 Koszykowa St, 02-008, Warsaw, Poland

    Konrad Wojciechowski

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© 2009 Springer-Verlag Berlin Heidelberg

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Kasiński, A., Pawłowski, J., Ponulak, F. (2009). ‘SNN3DViewer’ - 3D Visualization Tool for Spiking Neural Network Analysis. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2008. Lecture Notes in Computer Science, vol 5337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02345-3_46

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  • DOI: https://doi.org/10.1007/978-3-642-02345-3_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02344-6

  • Online ISBN: 978-3-642-02345-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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