Spike train data from mouse retinal ganglion cells under stimulation with natural images
Tim Gollisch
b8567e538d
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Spike train data from mouse retinal ganglion cells under stimulation with natural images.
Accompanying the paper:
Karamanlis D and Gollisch T (2021) Nonlinear spatial integration underlies the diversity of retinal ganglion cell responses to natural images. J Neurosci 41:3479-3498.
Pubmed link: https://pubmed.ncbi.nlm.nih.gov/33664129/
For information about the structure of the repository, the format of the data, and the reconstruction of applied visual stimuli, see the file manual.pdf.
If you plan to use this data for a publication, please inform us about it and don’t forget to cite the original paper (see reference above) as well as the source of the data.
| datacite.yml | |
|---|---|
| Title | Dataset - Mouse retinal ganglion cell responses to natural images and spatial-integration analysis |
| Authors |
Karamanlis,Dimokratis;University Medical Center Göttingen;ORCID:0000-0002-9469-5020
Gollisch,Tim;University Medical Center Göttingen;ORCID:0000-0003-3998-533X |
| Description | Data sets accompanying Karamanlis and Gollisch, Journal of Neuroscience 2021: Nonlinear spatial integration underlies the diversity of retinal ganglion cell responses to natural images. |
| License | Creative Commons Attribution-ShareAlike 4.0 International (https://creativecommons.org/licenses/by-sa/4.0/) |
| References |
Karamanlis D, Gollisch T (2021), Nonlinear spatial integration underlies the diversity of retinal ganglion cell responses to natural images, J Neurosci 41:3479-3498 [doi:10.1523/JNEUROSCI.3075-20.2021] (IsSupplementTo)
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| Funding |
DFG, 154113120
DFG, 432680300 EU, ERC.724822 Boehringer Ingelheim Fonds |
| Keywords |
Neuroscience
Electrophysiology Multielectrode Arrays Retina Ganglion Cells Spike trains Mouse Spatial integration |
| Resource Type |
Dataset |
