This title appears in the Scientific Report :
2013
Interactive visualization of brain-scale spiking activity
Interactive visualization of brain-scale spiking activity
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 anal...
| Personal Name(s): | Nowke, Christian (Corresponding author) |
|---|---|
| Hentschel, Bernd / Kuhlen, Torsten / Schmidt, Maximilian / van Albada, Sacha / Eppler, Jochen M / Bakker, Rembrandt / Diesmann, Markus | |
| Contributing Institute: |
Theoretical Neuroscience; IAS-6 Computational and Systems Neuroscience; INM-6 |
| Imprint: |
2013
|
| Conference: | Twenty Second Annual Computational Neuroscience Meeting, Paris (France), 2013-07-13 - 2013-07-18 |
| Document Type: |
Poster |
| Research Program: |
Brain-inspired multiscale computation in neuromorphic hybrid systems The Next-Generation Integrated Simulation of Living Matter Supercomputing and Modelling for the Human Brain Helmholtz Alliance on Systems Biology Signalling Pathways and Mechanisms in the Nervous System Brain-Scale Simulations |
| Publikationsportal JuSER |
|
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. |