gollischlab/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

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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Dimokratis Karamanlis b9ee47e71c Merge remote-tracking branch 'refs/remotes/origin/master'		9 달 전
stimulus_reconstruction	b5ccd4e7cc gin commit from LAPTOP-DGQ2UMA5	9 달 전
20201112_252MEA_mouse_left_half_dorsal.rar	4cdeedc2e5 gin commit from retina-01-17	1 년 전
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20210115_252MEA_mouse_left_half_ventral.rar	4cdeedc2e5 gin commit from retina-01-17	1 년 전
20210115_252MEA_mouse_right_half_ventral.rar	4cdeedc2e5 gin commit from retina-01-17	1 년 전
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20210813_252MEA_mouse_left_half_dorsal.rar	4cdeedc2e5 gin commit from retina-01-17	1 년 전
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LICENSE	1b225ff899 Initial commit	1 년 전
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README.md	c177cb8fc7 Updated README	1 년 전
datacite.yml	ef10e6ac15 Updated datacite file	1 년 전

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 and 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.

Computer code for fitting subunit grid models to the data of this repository and evaluating the obtained models on natural stimuli is available here: https://github.com/dimokaramanlis/subunit_grid_model/

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 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) subunit_grid_model. Github. https://github.com/dimokaramanlis/subunit_grid_model [url:https://github.com/dimokaramanlis/subunit_grid_model] (IsReferencedBy)
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

README.md

Karamanlis_Gollisch_2023_RGC_spiketrains_natural_movies_and_subunit_models