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VisNEST — Interactive analysis of neural activity data

VisNET is a visualization system for the analysis of simulated network models. It comprises of four distinct visualization designs that support the inspection of different model aspects. 

Release Date:
Data type:
Multiple view, Virtual reality
VR technology
Linux, Mac OSX, Windows

Project development

Institution: Jülich Aachen Research Alliance (JARA)

A prototype of the VisNEST  application has been implemented and used by domain experts to simultaneously visualize 32 vision-related areas of the macaque brain. The system has been designed in close collaboration with neuroscientists. It follows a multiple-view approach in order to integrate a variety of data modalities, e.g. geometrical information, raw simulation input, and derived, aggregate information. The system enables users to interactively browse brain areas, identify areas of interest and interactively analyze these in more detail. Initial user feedback on the utility of VisNEST is positive. Yet, the collaborative development process strongly encourages continuous improvement based on user feedback. A key aspect that has recently been targeted by comments is the depiction of graph information. The current design is very much based on the initial requirement to leave node positions fixed.