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- # Required fields
- # The main researchers involved working on the resource,
- # or the authors of the publication in priority order.
- # May be a corporate/institutional or personal name.
- # Include digital identifier (e.g., ORCID) if possible
- authors:
- -
- firstname: 'Norma Krystyna'
- lastname: Kühn
- affiliation: 'Neuro-Electronics Research Flanders, Leuven, Belgium'
- -
- firstname: Tim
- lastname: Gollisch
- affiliation: 'University Medical Center Göttingen, Germany'
- id: 'https://orcid.org/0000-0003-3998-533X'
- # A name or title to describe the published resource.
- title: Kuehn_and_Gollisch_RGC_spiketrains_for_moving_texture
- # Any additional information. It is best practice to supply a description for the resource.
- description: |
- Data accompanying the manuscript by Kühn and Gollisch:
- "Activity correlations between direction-selective retinal ganglion cells
- synergistically enhance motion decoding from complex visual scenes"
- # List of keywords the resource should be associated with.
- keywords:
- - Neuroscience
- - Electrophysiology
- - Retina
- - Multielectrode Arrays
- # Any rights information for this resource. Please provide both a license name and a link to the license.
- # Please add also a LICENSE file to the repository
- license:
- name: 'Creative Commons Attribution-ShareAlike 4.0 International'
- url: 'https://creativecommons.org/licenses/by-sa/4.0/'
- ## Optional Fields
- # Any funding reference for this resource. Separate funder name and grant number by comma
- funding:
- - 'University Göttingen, Dorothea Schlözer Programme'
- - 'EU, FP7-ICT-2011.9.11 - 600954'
- - 'DFG, CRC889.C1'
- - 'EU, ERC.724822'
- # Related publications. reftype might be: IsCitedBy, IsSupplementTo, IsReferencedBy, IsPartOf
- # for further valid types see https://schema.datacite.org/meta/kernel-4
- # Please provide digital identifier (e.g., DOI) if possible.
- references:
- -
- reftype: "IsSupplementTo"
- name: "Kühn and Gollisch: Activity correlations between direction-selective retinal ganglion cells synergistically enhance motion decoding from complex visual scenes"
- # Type of the data in this repository (Dataset, Model, Software, Other see
- # https://schema.datacite.org/meta/kernel-4.1/doc/DataCite-MetadataKernel_v4.1.pdf
- # for examples
- dtype: Dataset
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