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Organization of the Brain

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Related Experiment Video

Updated: Aug 31, 2025

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

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Published on: May 4, 2018

EBRAINS Live Papers - Interactive Resource Sheets for Computational Studies in Neuroscience.

Shailesh Appukuttan¹, Luca L Bologna², Felix Schürmann³

¹Université Paris-Saclay, CNRS, Institut des Neurosciences Paris-Saclay, Saclay, 91400, France.

Neuroinformatics

|August 20, 2022

Summary

This summary is machine-generated.

Neuroscience researchers can now share publication-related data, code, and models via a new online platform. This system ensures long-term resource availability and interactive data exploration for enhanced scientific reproducibility.

Keywords:

Computational neuroscience Data provenance Data retrieval Documentation Experimental data

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Area of Science:

Neuroscience
Computational Neuroscience
Data Science

Background:

Sharing digital resources underlying scientific publications is crucial for reproducibility.
Current methods for resource sharing can be fragmented and lack long-term accessibility.
Neuroscience research generates complex datasets and models requiring specialized sharing solutions.

Purpose of the Study:

To introduce a novel online platform for systematic sharing of neuroscience publication resources.
To enhance the accessibility and long-term availability of research data, code, and models.
To facilitate interactive exploration and utilization of published scientific findings.

Main Methods:

Development of a structured online platform for resource uploading and distribution.
Implementation of interactive features for data visualization, simulation, and download.
Integration with the EBRAINS Knowledge Graph for data provenance and ecosystem compatibility.
Hosting resources on reliable data storage servers for sustained accessibility.

Main Results:

A functional online platform enabling seamless sharing of neuroscience research resources.
Interactive 'Live Papers' allowing users to engage directly with published data and models.
Ensured long-term availability and accessibility of digital resources.
Maintained data provenance through EBRAINS Knowledge Graph integration.

Conclusions:

The platform significantly improves the sharing and accessibility of neuroscience research resources.
Interactive features enhance the understanding and reproducibility of scientific findings.
Integration with EBRAINS fosters a connected ecosystem for neuroscience research and data management.