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Related Experiment Video

Updated: Feb 2, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

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VIOLA-A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output.

Johanna Senk¹, Corto Carde^2,3,4, Espen Hagen^1,5

¹Institute of Neuroscience and Medicine (INM-6), Institute for Advanced Simulation (IAS-6), JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany.

Frontiers in Neuroinformatics

|November 24, 2018

Summary

This summary is machine-generated.

This study introduces VIOLA, a web-based tool for visualizing complex neuronal network simulation data. VIOLA aids researchers in understanding brain activity patterns by integrating interactive visualization into analysis workflows.

Keywords:

3D visualization coordinated multiple views data analysis workflow interactive visualization neuronal network simulation spatiotemporal patterns spiking neurons visual data analytics

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Area of Science:

Computational neuroscience
Neuroimaging analysis
Scientific visualization

Background:

Neuronal network models are crucial for understanding brain function, but analyzing their complex simulation data is challenging.
Current experimental techniques capture large-scale cortical activity, necessitating sophisticated analysis tools for corresponding models.
Integrating interactive visualization is key to interpreting multi-modal, multi-dimensional simulation data.

Purpose of the Study:

To present interactive visualization concepts (views) for analyzing activity data in topological neuronal network models.
To introduce VIOLA (Visualization Of Layer Activity), a software implementation of these concepts.
To demonstrate the utility of interactive multi-view analysis in neurophysiological data workflows.

Main Methods:

Developed a set of interactive visualization concepts ('views') for neuronal activity data.
Created VIOLA, a lightweight, open-source, web-based, platform-independent application.
Applied VIOLA to analyze spiking activity data from a layered point-neuron network model with distance-dependent connectivity.

Main Results:

VIOLA enables coordinated multiple views for interactive visual analysis of massively parallel neurophysiological data.
The tool facilitates explorative and qualitative assessment of spatiotemporal features in neuronal activity.
Demonstrated VIOLA's effectiveness in a use-case involving a layered network model with external spatial excitation.

Conclusions:

Interactive multi-view analysis, as implemented in VIOLA, assists and enhances existing data analysis workflows for neuronal network simulations.
Web-based visualization tools like VIOLA are essential components for future integrated online platforms, such as those in the Human Brain Project.
VIOLA provides a foundational prototype for advanced visual analysis of large-scale neurophysiological data.