% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Pronold:1031473,
author = {Pronold, Jari and van Meegen, Alexander and Shimoura, Renan
O and Vollenbröker, Hannah and Senden, Mario and Hilgetag,
Claus C and Bakker, Rembrandt and van Albada, Sacha J},
title = {{M}ulti-{S}cale {S}piking {N}etwork {M}odel of {H}uman
{C}erebral {C}ortex},
journal = {Cerebral cortex},
volume = {34},
number = {10},
issn = {1047-3211},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {FZJ-2024-05686},
pages = {bhae409},
year = {2024},
abstract = {Although the structure of cortical networks provides the
necessary substrate for their neuronal activity, the
structure alone does not suffice to understand the activity.
Leveraging the increasing availability of human data, we
developed a multi-scale, spiking network model of human
cortex to investigate the relationship between structure and
dynamics. In this model, each area in one hemisphere of the
Desikan–Killiany parcellation is represented by a 1 $mm^2$
column with a layered structure. The model aggregates data
across multiple modalities, including electron microscopy,
electrophysiology, morphological reconstructions, and
diffusion tensor imaging, into a coherent framework. It
predicts activity on all scales from the single-neuron
spiking activity to the area-level functional connectivity.
We compared the model activity with human
electrophysiological data and human resting-state functional
magnetic resonance imaging (fMRI) data. This comparison
reveals that the model can reproduce aspects of both spiking
statistics and fMRI correlations if the inter-areal
connections are sufficiently strong. Furthermore, we study
the propagation of a single-spike perturbation and
macroscopic fluctuations through the network. The
open-source model serves as an integrative platform for
further refinements and future in silico studies of human
cortical structure, dynamics, and function.},
cin = {IAS-6},
ddc = {610},
cid = {I:(DE-Juel1)IAS-6-20130828},
pnm = {5231 - Neuroscientific Foundations (POF4-523) / DFG project
G:(GEPRIS)347572269 - Heterogenität von Zytoarchitektur,
Chemoarchitektur und Konnektivität in einem großskaligen
Computermodell der menschlichen Großhirnrinde (347572269) /
HBP SGA3 - Human Brain Project Specific Grant Agreement 3
(945539) / EBRAINS 2.0 - EBRAINS 2.0: A Research
Infrastructure to Advance Neuroscience and Brain Health
(101147319) / JL SMHB - Joint Lab Supercomputing and
Modeling for the Human Brain (JL SMHB-2021-2027) / Helmholtz
Platform for Research Software Engineering - Preparatory
Study $(HiRSE_PS-20220812)$ / Brain-Scale Simulations
$(jinb33_20220812)$ / DFG project G:(GEPRIS)491111487 -
Open-Access-Publikationskosten / 2022 - 2024 /
Forschungszentrum Jülich (OAPKFZJ) (491111487)},
pid = {G:(DE-HGF)POF4-5231 / G:(GEPRIS)347572269 /
G:(EU-Grant)945539 / G:(EU-Grant)101147319 / G:(DE-Juel1)JL
SMHB-2021-2027 / $G:(DE-Juel-1)HiRSE_PS-20220812$ /
$G:(DE-Juel1)jinb33_20220812$ / G:(GEPRIS)491111487},
typ = {PUB:(DE-HGF)16},
pubmed = {39428578},
UT = {WOS:001336208500001},
doi = {10.1093/cercor/bhae409},
url = {https://juser.fz-juelich.de/record/1031473},
}