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pSpitzner 7c0c848720 gin commit from vigsoe		1 rok pred
..
README.md	7c0c848720 gin commit from vigsoe	1 rok pred
s7_k=3_0Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
s8_k=3_20Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sx_k=10_80Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sx_k=10_90Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sx_k=1_80Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sx_k=1_90Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sx_k=5_80Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sx_k=5_90Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sx_k=5_combined.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sx_merged_80Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sx_merged_90Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sy_k=10_0Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sy_k=10_20Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sy_k=1_0Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sy_k=1_20Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sy_k=5_0Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred
sy_k=5_20Hz.mp4	7c0c848720 gin commit from vigsoe	1 rok pred

Movies of simulations

The files that start with sx_ stem from the initial submission, where we simulated noise applied to all modules (global stimulation). In this case, the freuqency is the total stimulation rate.

The rest (mostly sy_) were created later, applying 20Hz extra, only in the lower two modules (orange). Also, for those topologies, the in-degree was fixed to 30 (this was not the case for those above).

datacite.yml
Title	Data for 'Modular architecture facilitates noise-driven control of synchrony in neuronal networks'
Authors	Yamamoto,Hideaki;Research Institute of Electrical Communication (RIEC), Tohoku University, Sendai, Japan Spitzner,F. Paul;Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany Takemuro,Taiki;Research Institute of Electrical Communication (RIEC), Tohoku University, Sendai, Japan Buendía,Victor;Max Planck Institute for Biological Cybernetics, Tübingen, Germany Murota,Hakuba;Research Institute of Electrical Communication (RIEC), Tohoku University, Sendai, Japan Morante,Carla;Departament de Física de la Matèria Condensada, Universitat de Barcelona, Barcelona, Spain Konno,Tomohiro;Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan Sato,Shigeo;Research Institute of Electrical Communication (RIEC), Tohoku University, Sendai, Japan Hirano-Iwata,Ayumi;Research Institute of Electrical Communication (RIEC), Tohoku University, Sendai, Japan Levina,Anna;Max Planck Institute for Biological Cybernetics, Tübingen, Germany Priesemann,Viola;Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany Muñoz,Miguel A.;Departamento de Electromagnetismo y Física de la Materia, Universidad de Granada, Granada, Spain Zierenberg,Johannes;Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany Soriano,Jordi;Departament de Física de la Matèria Condensada, Universitat de Barcelona, Barcelona, Spain
Description	This is the data repository, containing inferred spikes and preprocessed results.
License	CC-BY-NC 4.0 (http://creativecommons.org/licenses/by-nc/4.0/)
References	Yamamoto et al.: 'Modular architecture facilitates noise-driven control of synchrony in neuronal networks'. Science Advances, submitted. [doi:tba] (IsSupplementTo) Yamamoto et al. (2022) Preprint of a study based on the data. arXiv. https://doi.org/10.48550/arXiv.2205.10563 [arXiv:2205.10563] (IsSupplementTo) StimulatingModularCultures: Analysis code. Github. https://github.com/Priesemann-Group/stimulating_modular_cultures [url:https://github.com/Priesemann-Group/stimulating_modular_cultures] (IsReferencedBy)
Funding
Keywords	Neuroscience in vitro cultures modularity optogenetics spiking neuronal network model
Resource Type	Dataset