rave_data/README.md

Data: Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience

This repository hosts the data of https://www.biorxiv.org/content/10.1101/2021.10.29.466492v2 (Gonschorek, Höfling et al. (2021), Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience, NeurIPS 2021). The corresponding code for the implementation can be found on GitHub: https://github.com/eulerlab/rave.

The files contain the following data and information:

• bio/bc_dataset_A (pickle):

  • This file contains the preprocessed bipolar cell data in response to the local and full-field chirp, their IPL (inner plexiform layer) depths and cell type labels obtained from Franke, Berens et al. (2017), Inhibition decorrelates visual feature representation in the inner retina, Nature.

• bio/bc_dataset_B (pickle)

  • This file contains the preprocessed bipolar cell data in response to the local and full-field chirp and their IPL depths obtained from Zhao, Klindt et al. (2020), The temporal structure of the inner retina at a single glance, Scientific Reports.

• ipl/BC_Profiles_Helmstaedter (txt)

  • This file contains electron-microscopy (EM) data of axonal stratification profiles of bipolar cell types.
  • array of shape 400x14, array[d, t] = p(IPL depth = d|BC type = t)

• ipl/ipl (mat)

  • Matlab file containing a dictionary with keys "d" and "prior"; d: 400x1 array, IPL depth samples; prior: 400 x 14 array, with entry [d, t] = p(BC type = t|IPL depth = d).

• silico/sim_dataset (pickle)

  • This file contains the dataset object of simulated bipolar cell data from Schröder, Klindt et al. (2020), System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina, NeurIPS 2020.