Multiscale cosimulation design template for neuroscience applications - Aix-Marseille Université Access content directly
Preprints, Working Papers, ... Year : 2022

Multiscale cosimulation design template for neuroscience applications

Lionel Kusch
Sandra Diaz
Wouter Klijn
Kim Sontheimer
Christophe Bernard
Abigail Morrison
Viktor Jirsa

Abstract

Integration of information across heterogeneous sources creates added scientific value. It is, however, a challenge to progress, often a barrier, to interoperate data, tools and models across spatial and temporal scales. Here we present a design template for coupling simulators operating at different scales and enabling co-simulation. We illustrate its functioning along a neuroscience example, in which individual regions of interest are simulated on the cellular level to address mechanistic questions, 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 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 Multiscale cosimulation design template for neuroscience applications simulation framework and validate them against multiscale experiments, thereby largely widening the explanatory power of computational models.
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hal-04215272 , version 1 (22-09-2023)

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Lionel Kusch, Sandra Diaz, Wouter Klijn, Kim Sontheimer, Christophe Bernard, et al.. Multiscale cosimulation design template for neuroscience applications. 2023. ⟨hal-04215272⟩
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