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| Hauptseite > Publikationsdatenbank > Multi-scale Spiking Network Model of Human Cerebral Cortex > print |
| Hauptseite > Publikationsdatenbank > Multi-scale Spiking Network Model of Human Cerebral Cortex > print |
| 001 | 1042899 | ||
| 005 | 20250627204348.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2025-02699 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2025-02699 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Pronold, Jari |0 P:(DE-Juel1)165321 |b 0 |
| 111 | 2 | _ | |a IAS Retreat 2025 |c Jülich |d 2025-05-27 - 2025-05-27 |w Germany |
| 245 | _ | _ | |a Multi-scale Spiking Network Model of Human Cerebral Cortex |
| 260 | _ | _ | |c 2025 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a CONFERENCE_POSTER |2 ORCID |
| 336 | 7 | _ | |a Output Types/Conference Poster |2 DataCite |
| 336 | 7 | _ | |a Poster |b poster |m poster |0 PUB:(DE-HGF)24 |s 1751007316_5630 |2 PUB:(DE-HGF) |x Other |
| 520 | _ | _ | |a Data-driven models at cellular resolution exist for various brain regions, yet few for human cortex. We present a comprehensive point-neuron network model of a human cortical hemisphere that integrates diverse experimental data into a unified framework bridging cellular and network scales [1]. Like a previous large-scale spiking model of macaque cortex [2,3], our work investigates how resting-state activity emerges in cortical networks.The model represents one hemisphere via the Desikan-Killiany parcellation (34 areas), with each area implemented as a 1 mm² microcircuit that distinguishes cortical layers. It aggregates multimodal data, including electron microscopy for synapse density, cytoarchitecture from the von Economo atlas [4], DTI-based connectivity [5], and local connection probabilities from the Potjans-Diesmann microcircuit [6]. Human neuron morphologies [7] guide layer-specific inter-area connectivity. The full-density model, comprising 3.47 million leaky integrate-and-fire neurons and 42.8 billion synapses, was simulated using NEST on the JURECA-DC supercomputer.Simulations show that equal strength for local and inter-area synapses yields asynchronous irregular activity that deviates from experimental observations. When inter-area connections are strengthened relative to local synapses, both microscopic spiking statistics from human medial frontal cortex and macroscopic resting-state fMRI correlations are reproduced [8]. In the latter scenario, consistent with empirical findings during visual imagery [9], sustained activity flows primarily from parietal through occipital and temporal to frontal areas.This open-source model enables systematic exploration of structure-dynamics relationships. Future work may leverage the Julich-Brain Atlas to refine the parcellation and incorporate detailed cytoarchitectural and receptor data [10]. The model code is available at https://github.com/INM-6/human-multi-area-model. |
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| 536 | _ | _ | |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |0 G:(EU-Grant)945539 |c 945539 |f H2020-SGA-FETFLAG-HBP-2019 |x 1 |
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| 700 | 1 | _ | |a van Meegen, Alexander |0 P:(DE-Juel1)173607 |b 1 |
| 700 | 1 | _ | |a Shimoura, Renan |0 P:(DE-Juel1)190767 |b 2 |e Corresponding author |u fzj |
| 700 | 1 | _ | |a Vollenbröker, Hannah |0 P:(DE-Juel1)180364 |b 3 |
| 700 | 1 | _ | |a Senden, Mario |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Hilgetag, C. C. |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Bakker, Rembrandt |0 P:(DE-Juel1)145578 |b 6 |u fzj |
| 700 | 1 | _ | |a van Albada, Sacha |0 P:(DE-Juel1)138512 |b 7 |u fzj |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1042899/files/poster-HuMAM.pdf |y OpenAccess |
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