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@ARTICLE{Hater:1052109,
author = {Hater, Thorsten and Courson, Juliette and Lu, Han and Diaz,
Sandra and Manos, Thanos},
title = {{A}rbor-{TVB}: {A} {N}ovel {M}ulti-{S}cale
{C}o-{S}imulation {F}ramework with a {C}ase {S}tudy on
{N}eural-{L}evel {S}eizure {G}eneration},
journal = {Frontiers in computational neuroscience},
volume = {19},
issn = {1662-5188},
address = {Lausanne},
publisher = {Frontiers Research Foundation},
reportid = {FZJ-2026-00762},
pages = {1731161},
year = {2026},
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 framework employs an
MPI intercommunicator for real-time bidirectional
interaction, translating between discrete spikes from Arbor
and continuous TVB activity. Its fully modular design
enables independent model selection for each scale,
requiring minimal effort to translate activity across
simulators. The novel Arbor-TVB co-simulator allows
replacement of TVB nodes with biologically realistic neuron
populations, offering insights into seizure propagation and
potential intervention strategies. The integration of Arbor
and TVB marks a significant advancement in multi-scale
modeling, providing a comprehensive computational framework
for studying neural disorders and optimizing treatments.},
cin = {JSC / CASA},
ddc = {610},
cid = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)CASA-20230315},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / SLNS - SimLab
Neuroscience (Helmholtz-SLNS) / JL SMHB - Joint Lab
Supercomputing and Modeling for the Human Brain (JL
SMHB-2021-2027) / EBRAINS 2.0 - EBRAINS 2.0: A Research
Infrastructure to Advance Neuroscience and Brain Health
(101147319) / DFG project G:(GEPRIS)491111487 -
Open-Access-Publikationskosten / 2025 - 2027 /
Forschungszentrum Jülich (OAPKFZJ) (491111487)},
pid = {G:(DE-HGF)POF4-5111 / G:(DE-Juel1)Helmholtz-SLNS /
G:(DE-Juel1)JL SMHB-2021-2027 / G:(EU-Grant)101147319 /
G:(GEPRIS)491111487},
typ = {PUB:(DE-HGF)16},
doi = {10.3389/fncom.2025.1731161},
url = {https://juser.fz-juelich.de/record/1052109},
}