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Towards the Ultimate Display for Neuroscientific Data Analysis

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Brain-Inspired Computing (BrainComp 2015)

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

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Abstract

This article wants to give some impulses for a discussion about how an “ultimate” display should look like to support the Neuroscience community in an optimal way. In particular, we will have a look at immersive display technology. Since its hype in the early 90’s, immersive Virtual Reality has undoubtedly been adopted as a useful tool in a variety of application domains and has indeed proven its potential to support the process of scientific data analysis. Yet, it is still an open question whether or not such non-standard displays make sense in the context of neuroscientific data analysis. We argue that the potential of immersive displays is neither about the raw pixel count only, nor about other hardware-centric characteristics. Instead, we advocate the design of intuitive and powerful user interfaces for a direct interaction with the data, which support the multi-view paradigm in an efficient and flexible way, and – finally – provide interactive response times even for huge amounts of data and when dealing multiple datasets simultaneously.

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Acknowledgements

The research leading to this article has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement 604102 (HBP) and from the Helmholtz Portfolio Theme “Supercomputing and Modeling for the Human Brain”.

Author information

Authors and Affiliations

  1. Virtual Reality and Immersive Visualization Group, Visual Computing Institute, RWTH Aachen University, Kopernikusstraße 6, 52074, Aachen, Germany

    Torsten Wolfgang Kuhlen & Bernd Hentschel

  2. JARA – High-Performance Computing, RWTH Aachen University, Schinkelstraße 2, 52062, Aachen, Germany

    Torsten Wolfgang Kuhlen & Bernd Hentschel

Authors
  1. Torsten Wolfgang Kuhlen
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  2. Bernd Hentschel
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Correspondence to Torsten Wolfgang Kuhlen .

Editor information

Editors and Affiliations

  1. Forschungszentrum Jülich, Jülich, Germany

    Katrin Amunts

  2. University of Calabria , Rende, Italy

    Lucio Grandinetti

  3. Forschungszentrum Jülich, Jülich, Germany

    Thomas Lippert

  4. University of Groningen , Groningen, The Netherlands

    Nicolai Petkov

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Kuhlen, T.W., Hentschel, B. (2016). Towards the Ultimate Display for Neuroscientific Data Analysis. In: Amunts, K., Grandinetti, L., Lippert, T., Petkov, N. (eds) Brain-Inspired Computing. BrainComp 2015. Lecture Notes in Computer Science(), vol 10087. Springer, Cham. https://doi.org/10.1007/978-3-319-50862-7_12

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  • DOI: https://doi.org/10.1007/978-3-319-50862-7_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50861-0

  • Online ISBN: 978-3-319-50862-7

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