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  • Poster presentation
  • Open Access

Interactive visualization of brain-scale spiking activity

  • 1, 5Email author,
  • 1, 5,
  • 1, 5,
  • 2, 5,
  • 2, 5,
  • 2, 5,
  • 2, 3, 5 and
  • 2, 4, 5
BMC Neuroscience201314 (Suppl 1) :P110

  • Published:


  • Visual Inspection
  • Simulated Data
  • Simulation Tool
  • Spike Activity
  • Simulation Technology

In recent years, the simulation of spiking neural networks has advanced in terms of both simulation technology [1, 2] and knowledge about neuroanatomy [3, 4]. Due to these advances, it is now possible to run simulations at the brain scale [5, 6], which produce an unprecedented amount of data to be analyzed and understood by researchers.

To aid computational neuroscientists with the development of models and especially with the visual inspection and selection of data for analysis, we developed VisNEST [7], a tool for the combined visualization of simulated spike data and anatomy. This provides a rapid overview of the relationship between structure and activity. VisNEST currently uses spike data from the neural simulation tool NEST [1] and geometry from the Scalable Brain Atlas [4], but is not limited to these tools.

In our contribution we will present VisNEST using a Picasso 3D system, which allows users to interactively investigate and explore the simulated data from a large-scale model of 32 vision-related areas of the macaque [6]. The system is equipped with infrared tracking and uses passive glasses to render the image for the user standing in front of the screen.
Figure 1
Figure 1

Main view of the simulated activity data. The mean spiking activity of the different areas is shown by color. The optional dot plot shows the spikes from the currently selected area.



Partially supported by the Helmholtz Association: HASB and portfolio theme SMHB, the Next-Generation Supercomputer Project of MEXT, EU Grant 269921 (BrainScaleS), by the VSR computation time grant JINB33 on the JUGENE and JUQUEEN supercomputers in Jülich, the Jülich-Aachen Research Alliance (JARA) and by the Excellence Initiative of the German federal and state governments.

Authors’ Affiliations

Virtual Reality Group, RWTH Aachen University, Aachen, Germany
Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany
Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
Medical Faculty, RWTH Aachen University, Aachen, Germany
JARA - High-Performance Computing, RWTH Aachen University, Aachen, Germany


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© Nowke et al; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.