&apos;SNN3DViewer&apos; - 3D visualization tool for spiking neural network analysis

Andrzej Kasiński; Juliusz Pawłowski; Filip Ponulak

doi:10.1007/978-3-642-02345-3_46

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Title

'SNN3DViewer' - 3D visualization tool for spiking neural network analysis

Authors

Andrzej Kasiński (WE) ^{[ 1 ][ P ]}
Juliusz Pawłowski
Filip Ponulak (WE) ^{[ 1 ][ P ]}

^{[ 1 ]} Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | ^{[ P ]} employee

Year of publication

2009

Chapter type

paper

Publication language

english

Keywords

EN

data visualization
3D graphics
spiking neural networks

Abstract

EN 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.

Pages (from - to)

469 - 476

DOI

10.1007/978-3-642-02345-3_46

URL

https://link.springer.com/chapter/10.1007/978-3-642-02345-3_46

Book

Computer Vision and Graphics Computer Vision and Graphics : International Conference, ICCVG 2008 Warsaw, Poland, November 10-12, 2008. Revised papers

Presented on

International Conference on Computer Vision and Graphics, ICCVG 2008, 10-12.11.2008, Warsaw, Poland

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