Web-Based Interfaces for Virtual C. elegans Neuron Model Definition, Network Configuration, Behavioral Experiment Definition and Experiment Results Visualization

The platform targets the complete virtualization of the nematode , and its environment. This paper presents a suite of unified web-based Graphical User Interfaces (GUIs) as the main user interaction point, and discusses their underlying technologies and methods. The user-friendly features of this to...

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Veröffentlicht in:Frontiers in neuroinformatics 2018-11, Vol.12, p.80-80
Hauptverfasser: Epelde, Gorka, Morgan, Fearghal, Mujika, Andoni, Callaly, Frank, Leškovský, Peter, McGinley, Brian, Álvarez, Roberto, Blau, Axel, Krewer, Finn
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Sprache:eng
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Zusammenfassung:The platform targets the complete virtualization of the nematode , and its environment. This paper presents a suite of unified web-based Graphical User Interfaces (GUIs) as the main user interaction point, and discusses their underlying technologies and methods. The user-friendly features of this tool suite enable users to graphically create neuron and network models, and behavioral experiments, without requiring knowledge of domain-specific computer-science tools. The framework furthermore allows the graphical visualization of all simulation results using a worm locomotion and neural activity viewer. Models, experiment definitions and results can be exported in a machine-readable format, thereby facilitating reproducible and cross-platform execution of experiments in other simulation environments. This is made possible by a novel XML-based behavioral experiment definition encoding format, a NeuroML XML-based model generation and network configuration description language, and their associated GUIs. User survey data confirms the platform usability and functionality, and provides insights into future directions for web-based simulation GUIs of and other living organisms. The tool suite is available online to the scientific community and its source code has been made available.
ISSN:1662-5196
1662-5196
DOI:10.3389/fninf.2018.00080