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Related Experiment Video

Updated: Jun 21, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
08:32

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

XTENS - an eXTensible environment for neuroscience.

Luca Corradi1, Gabriele Arnulfo, Andrea Schenone

  • 1Department of Communication, System and Computer Science, University of Genoa, Italy. luca.corradi@dist.unige.it

Studies in Health Technology and Informatics
|July 14, 2009
PubMed
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The XTENS platform enhances neuroscience research through a collaborative, extensible environment for data storage, analysis, and algorithm testing. It utilizes a Grid approach for managing large, distributed datasets, aiding in complex analyses like surgical planning for epilepsy.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Medical Informatics

Background:

  • Collaborative research environments are crucial for advancing neuroscience.
  • Managing and analyzing large, multimodal datasets presents significant challenges.
  • Existing platforms often lack extensibility and robust data handling capabilities.

Purpose of the Study:

  • To develop the eXTensible Environment for NeuroScience (XTENS) platform.
  • To create an extensible, collaborative environment for neuroscience research.
  • To integrate computational and data Grid infrastructures for large-scale data analysis.

Main Methods:

  • Developed a multimodal repository with a client-server architecture.
  • Implemented remote tools for image and signal visualization and analysis.

Related Experiment Videos

Last Updated: Jun 21, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
08:32

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

  • Exploited computational and data Grid infrastructures for distributed data analysis.

    • Main Results:

    • Prototype versions of the XTENS repository and application domains are presented.
    • The platform architecture supports complex multimodal data analysis.
    • Demonstrated applicability in surgical planning for drug-resistant epilepsy.

    Conclusions:

    • The XTENS platform offers a robust, extensible solution for collaborative neuroscience research.
    • The Grid approach facilitates efficient analysis and sharing of large, distributed datasets.
    • XTENS shows promise for improving experimental repeatability and data management in neuroscience.