Dataset - Marmoset retinal ganglion cell responses to tomographic stimulation
Spike train data from marmoset retinal ganglion cells under visual stimulation: The dataset contains spike times of On and Off parasol ganglion cells (49 cells in total) recorded extracellularly with a multielectrode array from one isolated retina of a marmoset monkey (see accompanying paper for details). Also contained are details of the applied visual stimuli. These were 1) flashed stripe patterns (Ricker stripes, used for computational, tomographic inference of ganglion cell subunits) and, as supporting stimuli, 2) spatiotemporal white noise (binary black/white flicker in a checkerboard layout) as well as 3) periodically reversing gratings. Accompanying Python scripts contain exemplary code for reading and processing the data.
For detailed information about the structure of the repository, the format of the data, and the reconstruction of applied visual stimuli, see the file Manual.pdf.
The Python scripts have been developed in Python 3.7.10, using the packages numpy 1.21.5, scipy 1.73, and skimage 0.18.1.
The dataset accompanies the manuscript:
Krüppel S, Khani MH, Schreyer HM, Sridhar S, Ramakrishna V, Zapp SJ, Mietsch M, Karamanlis D, Gollisch T: Applying Super-Resolution and Tomography Concepts to Identify Receptive Field Subunits in the Retina
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
