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- # Metadata for DOI registration according to DataCite Metadata Schema 4.1.
- # For detailed schema description see https://doi.org/10.5438/0014
- ## Required fields
- # The main researchers involved. Include digital identifier (e.g., ORCID)
- # if possible, including the prefix to indicate its type.
- authors:
- -
- firstname: "Hideaki"
- lastname: "Yamamoto"
- affiliation: "Research Institute of Electrical Communication (RIEC), Tohoku University, Sendai, Japan"
- -
- firstname: "F. Paul"
- lastname: "Spitzner"
- affiliation: "Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany"
- -
- firstname: "Taiki"
- lastname: "Takemuro"
- affiliation: "Research Institute of Electrical Communication (RIEC), Tohoku University, Sendai, Japan"
- -
- firstname: "Victor"
- lastname: "Buendía"
- affiliation: "Max Planck Institute for Biological Cybernetics, Tübingen, Germany"
- -
- firstname: "Hakuba"
- lastname: "Murota"
- affiliation: "Research Institute of Electrical Communication (RIEC), Tohoku University, Sendai, Japan"
- -
- firstname: "Carla"
- lastname: "Morante"
- affiliation: "Departament de Física de la Matèria Condensada, Universitat de Barcelona, Barcelona, Spain"
- -
- firstname: "Tomohiro"
- lastname: "Konno"
- affiliation: "Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan"
- -
- firstname: "Shigeo"
- lastname: "Sato"
- affiliation: "Research Institute of Electrical Communication (RIEC), Tohoku University, Sendai, Japan"
- -
- firstname: "Ayumi"
- lastname: "Hirano-Iwata"
- affiliation: "Research Institute of Electrical Communication (RIEC), Tohoku University, Sendai, Japan"
- -
- firstname: "Anna"
- lastname: "Levina"
- affiliation: "Max Planck Institute for Biological Cybernetics, Tübingen, Germany"
- -
- firstname: "Viola"
- lastname: "Priesemann"
- affiliation: "Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany"
- -
- firstname: "Miguel A."
- lastname: "Muñoz"
- affiliation: "Departamento de Electromagnetismo y Física de la Materia, Universidad de Granada, Granada, Spain"
- -
- firstname: "Johannes"
- lastname: "Zierenberg"
- affiliation: "Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany"
- -
- firstname: "Jordi"
- lastname: "Soriano"
- affiliation: "Departament de Física de la Matèria Condensada, Universitat de Barcelona, Barcelona, Spain"
- # A title to describe the published resource.
- title: "Data for 'Modular architecture facilitates noise-driven control of synchrony in neuronal networks'"
- # Additional information about the resource, e.g., a brief abstract.
- description: |
- In this data repository, we provide raw data and intermediate analysis results accompanying our publication, "Modular architecture facilitates noise-driven control of synchrony in neuronal networks". A preprint can be found at https://arxiv.org/abs/2205.10563 . the accompanying code repository can be found at https://github.com/Priesemann-Group/stimulating_modular_cultures
- # Lit of keywords the resource should be associated with.
- # Give as many keywords as possible, to make the resource findable.
- keywords:
- - Neuroscience
- - in vitro cultures
- - modularity
- - optogenetics
- - spiking neuronal network model
- # License information for this resource. Please provide the license name and/or a link to the license.
- # Please add also a corresponding LICENSE file to the repository.
- license:
- name: "Creative Commons Attribution-NonCommercial 4.0 International License (CC-BY-NC 4.0)"
- url: "http://creativecommons.org/licenses/by-nc/4.0/"
- ## Optional Fields
- # Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
- # Please provide digital identifier (e.g., DOI) if possible.
- # Add a prefix to the ID, separated by a colon, to indicate the source.
- # Supported sources are: DOI, arXiv, PMID
- # In the citation field, please provide the full reference, including title, authors, journal etc.
- references:
- -
- id: "doi:tba"
- reftype: "IsSupplementTo"
- citation: "Yamamoto et al.: 'Modular architecture facilitates noise-driven control of synchrony in neuronal networks'. Science Advances, submitted."
- -
- id: "arXiv:2205.10563"
- reftype: "IsSupplementTo"
- citation: "Yamamoto et al. (2022) Preprint of a study based on the data. arXiv. https://doi.org/10.48550/arXiv.2205.10563"
- -
- id: "url:https://github.com/Priesemann-Group/stimulating_modular_cultures"
- reftype: "IsReferencedBy"
- citation: "StimulatingModularCultures: Analysis code. Github. https://github.com/Priesemann-Group/stimulating_modular_cultures"
- # Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
- resourcetype: Dataset
- # Do not edit or remove the following line
- templateversion: 1.2
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