README.md 1.4 KB

s-on-alpha-regional

This repository contains the data and models underlying the analyses published in Oesterle, Ran et al. (2024): "Task-specific regional circuit adaptations in distinct mouse retinal ganglion cells". This work provides evidence support that the mouse retina shows regional adaptations in signal processing, enhancing their ability to detect prey during hunting.“

Repository structure

The repository contains two sub-directories holding the data and code, respectively, which are structured as outlined below.

Data

The relevant data can be found in the data folder.

  • data/Ran contains the dendritic data, for both calcium and glutamate imaging.
  • data/Oesterle contains somatic calcium recordings.
  • data/Stimulus contains the necessary stimuli (e.g. the dense noise stimulus to compute receptive fields).

Code

The code can be found in the code folder; it's published under the MIT license. First, install all packages and their requirements (in case of the model only if you want to use it).

  • To preprocess the data follow the instructions in code/AlphaDjimaging.
  • To recreate the analysis and figure panels follow the instructions in code/AlphaAnalysis.
  • To train and evaluate the model follow the instructions in code/AlphaCNN.
  • To create figures from figure panels use the Inkscape files in code/AlphaFigures.

Authors and acknowledgements

See acknowledgments section in Oesterle, Ran et al. (2024).