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Perspectives on Neuroscience
Published on: July 31, 2007
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Arkheia: Data Management and Communication for Open Computational Neuroscience
Ján Antolík1,2, Andrew P Davison2
1Institut National de la Santé et de la Recherche Médicale UMRI S 968; Sorbonne Universits, UPMC Univ Paris 06, UMR S 968; Centre National de la Recherche Scientifique, UMR 7210, Institut de la Vision, Paris, France.
Frontiers in Neuroinformatics
|March 21, 2018
Summary
Arkheia is a new web platform that simplifies sharing computational neuroscience models and simulation results. It offers automatic, graphical presentations to enhance collaboration and public outreach in systems neuroscience.
Area of Science:
- Computational Neuroscience
- Systems Neuroscience
- Scientific Collaboration Tools
Background:
- Increasing complexity and heterogeneity of neural network models.
- Growing trend towards open science and enhanced communication in research.
- Lack of adequate tools for sharing simulation workflows in computational neuroscience.
Purpose of the Study:
- Introduce Arkheia, a web-based open science platform.
- Address the need for better communication and sharing tools in computational neuroscience.
- Facilitate collaboration and public outreach for computational models.
Main Methods:
- Developed a web-based platform, Arkheia.
- Implemented automatic, interactive, graphical presentation of simulation results and protocols.
- Designed with a modular architecture and a separated API for database access.
- Enabled users to set up their own public or local repositories.
Main Results:
- Arkheia provides automatic presentation of simulation results and experimental context.
- The platform facilitates interactive exploration of parameter searches.
- Arkheia supports minimal manual input for users.
- Offers a flexible, open design with a defined API for data integration.
Conclusions:
- Arkheia enhances communication of computational models and simulation data.
- The platform promotes collaboration and outreach in systems neuroscience.
- Arkheia addresses the need for accessible sharing of complex simulation workflows.
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