The development of VisNEST was co-funded by the HBP during the Ramp-up Phase. This page is kept for reference but will no longer be updated.
VisNEST is a tool for visualizing neural network simulations of the macaque visual cortex. It allows for exploring mean activity rates, connectivity of brain areas and information exchange between pairs of areas. In addition, it allows exploration of individual populations of each brain area and their connectivity used for simulation.
| Date of release | Information available on demand. |
| Version of software | Information available on demand. |
| Version of documentation | Information available on demand. |
| Software available | Not publicly available yet. Please contact the developers in case of interest. |
| Documentation | Reference paper: Nowke, Christian, Maximilian Schmidt, Sacha J. van Albada, Jochen M. Eppler, Rembrandt Bakker, Markus Diesrnann, Bernd Hentschel, and Torsten Kuhlen. "VisNEST—Interactive analysis of neural activity data." In Biological Data Visualization (BioVis), 2013 IEEE Symposium on, pp. 65-72. IEEE, 2013. |
| Responsible | RWTH Aachen: Benjamin Weyers (weyers@vr.rwth-aachen.de) and Torsten Kuhlen (kuhlen@vr.rwth-aachen.de) |
| Requirements & dependencies | ViSTA, boost, zmq, hdf5 |
| Target system(s) | High Fidelity Visualization Platforms, Immersive Visualization Hardware, Desktop Computers |