Arbor-TVB: A Novel Multi-Scale Co-Simulation Framework with a Case Study on Neural-Level Seizure Generation and Whole-Brain Propagation
Thorsten Hater, Juliette Courson, Han Lu, Sandra Diaz-Pier, Thanos Manos

TL;DR
Arbor-TVB is a new multi-scale co-simulation framework that integrates detailed neuron models with whole-brain dynamics, enabling advanced studies of seizure onset and propagation across brain scales.
Contribution
This work introduces the first integration of Arbor and TVB simulators, allowing seamless multi-scale neural modeling with real-time bidirectional communication.
Findings
Successful modeling of seizure initiation and spread across brain scales.
Modular design facilitates easy replacement and customization of models.
Provides a platform for exploring neural disorder mechanisms and treatments.
Abstract
Computational neuroscience has traditionally focused on isolated scales, limiting understanding of brain function across multiple levels. While microscopic models capture biophysical details of neurons, macroscopic models describe large-scale network dynamics. Integrating these scales, however, remains a significant challenge. In this study, we present a novel co-simulation framework that bridges these levels by integrating the neural simulator Arbor with The Virtual Brain (TVB) platform. Arbor enables detailed simulations from single-compartment neurons to populations of such cells, while TVB models whole-brain dynamics based on anatomical features and the mean neural activity of a brain region. By linking these simulators for the first time, we provide an example of how to model and investigate the onset of seizures in specific areas and their propagation to the whole brain. This…
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