Spike train data from marmoset and mouse retinal ganglion cells under stimulation with natural movies, flashed or flickering gratings, and spatiotemporal white noise

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README.md

Karamanlis_Gollisch_2023_RGC_spiketrains_natural_movies_and_subunit_models

Spike train data from marmoset and mouse retinal ganglion cells under stimulation with natural movies, flashed or flickering gratings, and spatiotemporal white noise.

Accompanying the manuscript:

Karamanlis D, Khani MH, Schreyer HM, Zapp SJ, Mietsch M, Gollisch T: Natural stimuli drive concerted nonlinear responses in populations of retinal ganglion cells

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.

Contact: Tim Gollisch, Email: tim.gollisch@med.uni-goettingen.de, Website: https://www.retina.uni-goettingen.de/

datacite.yml
Title Dataset - Marmoset and mouse retinal ganglion cell responses to natural stimuli and supporting data
Authors Karamanlis,Dimokratis;University Medical Center Göttingen;ORCID:0000-0002-9469-5020
Khani,Mohammad Hossein;University Medical Center Göttingen;ORCID: 0000-0003-3123-7054
Schreyer,Helene Marianne;University Medical Center Göttingen
Gollisch,Tim;University Medical Center Göttingen;ORCID:0000-0003-3998-533X
Description Dataset accompanying the manuscript by Karamanlis et al. 2023: Natural stimuli drive concerted nonlinear responses in populations of retinal ganglion cells.
License Creative Commons Attribution-ShareAlike 4.0 International (https://creativecommons.org/licenses/by-sa/4.0/)
References Karamanlis D, Khani MH, Schreyer HM, Zapp SJ, Mietsch M, Gollisch T (2023), Natural stimuli drive concerted nonlinear responses in populations of retinal ganglion cells [doi:tba] (IsSupplementTo)
Funding EU, ERC.724822
DFG, 432680300
Boehringer Ingelheim Fonds
Keywords Neuroscience
Electrophysiology
Multielectrode arrays
Retina
Ganglion cells
Spike trains
Marmoset
Primate
Mouse
Natural images
Natural movies
Gratings
White noise
Resource Type Dataset