Arbor-TVB: A Novel Multi-Scale Co-Simulation Framework with a Case Study on Neural-Level Seizure Generation and
Thorsten Hater1, Juliette Courson2,3, Han Lu1
1Simulation and Data Lab Neuroscience, Jülich Supercomputing Centre (JSC), Institute for Advanced Simulation, Forschungszentrum Jülich GmbH, Jülich, Germany.
Arxiv
|June 5, 2025
Summary
This study introduces a new computational framework linking detailed neuron models (Arbor) with whole-brain simulations (The Virtual Brain). This multi-scale approach enables better understanding of brain disorders like seizures and potential treatment strategies.
Area of Science:
- Computational Neuroscience
- Systems Neuroscience
- Computational Biology
Background:
- Traditional computational neuroscience models operate at isolated scales (microscopic or macroscopic).
- Integrating these different scales of brain activity poses a significant challenge to understanding complex neural dynamics.
- Bridging the gap between detailed biophysical neuron models and large-scale brain network models is crucial for comprehensive analysis.
Purpose of the Study:
- To present a novel co-simulation framework integrating the Arbor neural simulator with The Virtual Brain (TVB) platform.
- To enable multi-scale modeling of brain function, bridging microscopic neuron-level detail with macroscopic network dynamics.
- To investigate the onset and propagation of seizures within a comprehensive computational model.
Main Methods:
- Developed a co-simulation framework linking Arbor and TVB using an MPI intercommunicator for real-time bidirectional data exchange.
- Translated discrete neuronal spikes from Arbor into continuous activity for TVB, and vice versa.
- Enabled the replacement of TVB nodes with biologically realistic neuron populations simulated by Arbor.
Main Results:
- Successfully integrated Arbor and TVB, creating a novel Arbor-TVB co-simulator for multi-scale brain modeling.
- Demonstrated the framework's capability to model seizure onset in specific brain areas and their propagation across the whole brain.
- Provided a method for investigating neural disorders and potential intervention strategies through detailed simulation.
Conclusions:
- The Arbor-TVB co-simulator represents a significant advancement in multi-scale computational neuroscience.
- This integrated framework offers unprecedented insights into the mechanisms of neural disorders like epilepsy.
- Facilitates the development and testing of optimized treatment strategies for brain disorders.
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