Zapp_Gollisch_2023_Marmoset_RGC_spiketrains_under_spatiotemporal_white_noise

Zapp_Gollisch_2023_Marmoset_RGC_spiketrains_under_spatiotemporal_white_noise

Spike train data from marmoset retinal ganglion cells under stimulation with spatiotemporal white noise

Accompanying the manuscript:

Zapp SJ, Khani MH, Schreyer HM, Mietsch M, Protti DA, Karamanlis D, Gollisch T: Accelerated spike-triggered non-negative matrix factorization with hyperparameter tuning reveals differences and alignments among ganglion cell subunit mosaics in the primate retina

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/gollischlab/STNMF_with_AFHALS

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