Data sets accompanying the paper by Schreyer and Gollisch, 2021.

Voltage traces of salamander retinal bipolar cells under visual stimulation.

Tim Gollisch ee03b2f88b Added information for publishing with DataCite 6 months ago
Spot a95e43d3ac Spot data and code 8 months ago
naturalMovies 1f0251576a Natural movies data and code 8 months ago
spatiotemporalWhiteNoise f884e462ce Spatiotemporal white noise data and code 8 months ago
Documentation_Data_BCRecordings.pdf 518aaf4020 Documentation bipolar cell data 8 months ago
LICENSE e95614b585 Initial commit 9 months ago
README.md 85217649fd Updated README 6 months ago
datacite.yml ee03b2f88b Added information for publishing with DataCite 6 months ago

README.md

Schreyer_and_Gollisch_2021_salamander_retinal_bipolar_cell_recordings

Membrane potential recordings of salamander retinal bipolar cells under visual stimulation.

Accompanying the paper:

Schreyer HM, Gollisch T (2021) Nonlinear spatial integration in retinal bipolar cells shapes the encoding of artificial and natural stimuli. Neuron 109:1692-1706.

Pubmed link: https://pubmed.ncbi.nlm.nih.gov/33798407/

The repository contains voltage traces of salamander retinal bipolar cells under stimulation with various light patterns, focusing on questions of spatial signal integration and encoding of natural stimuli. Furthermore, software code (in Matlab) for analyzing the stimulus-response relation is supplied.

The structure of the repository is explained in "Documentation_Data_BCRecordings.pdf". The file contains information about the format of the data files, the applied visual stimuli, and the supplied code for analysis.

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 - Salamander retinal bipolar cell membrane potential measured under visual stimulation
Authors Schreyer,Helene Marianne;University Medical Center Göttingen
Gollisch,Tim;University Medical Center Göttingen;ORCID:0000-0003-3998-533X
Description Data sets accompanying Schreyer and Gollisch, Neuron 2021: Nonlinear spatial integration in retinal bipolar cells shapes the encoding of artificial and natural stimuli.
License Creative Commons Attribution-ShareAlike 4.0 International (https://creativecommons.org/licenses/by-sa/4.0/)
References Schreyer HM, Gollisch T (2021), Nonlinear spatial integration in retinal bipolar cells shapes the encoding of artificial and natural stimuli, Neuron 109:1692-1706 [doi:10.1016/j.neuron.2021.03.015] (IsSupplementTo)
Funding DFG, 154113120
DFG, 432680300
EU, ERC.724822
Keywords Neuroscience
Electrophysiology
Sharp microelectrodes
Retina
Bipolar cells
Salamander
Axolotl
Spatial integration
Resource Type Dataset