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Multiscale co-simulation design pattern for neuroscience applications

Frontiers in Neuroinformatics, ISSN: 1662-5196, Vol: 18, Page: 1156683
2024
  • 0
    Citations
  • 0
    Usage
  • 6
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Captures
    6
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

Researchers from Aix-Marseille University Publish New Studies and Findings in the Area of Neuroscience (Multiscale co-simulation design pattern for neuroscience applications)

2024 FEB 23 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Life Science Daily -- A new study on neuroscience is now available.

Article Description

Integration of information across heterogeneous sources creates added scientific value. Interoperability of data, tools and models is, however, difficult to accomplish across spatial and temporal scales. Here we introduce the toolbox Parallel Co-Simulation, which enables the interoperation of simulators operating at different scales. We provide a software science co-design pattern and illustrate its functioning along a neuroscience example, in which individual regions of interest are simulated on the cellular level allowing us to study detailed mechanisms, while the remaining network is efficiently simulated on the population level. A workflow is illustrated for the use case of The Virtual Brain and NEST, in which the CA1 region of the cellular-level hippocampus of the mouse is embedded into a full brain network involving micro and macro electrode recordings. This new tool allows integrating knowledge across scales in the same simulation framework and validating them against multiscale experiments, thereby largely widening the explanatory power of computational models.

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