https://github.com/eulerlab/s-on-alpha_dendrites
This repository contains the data and models underlying the analyses published in Oesterle, Ran et al. (2024)
https://github.com/eulerlab/s-on-alpha_dendrites
Last synced: 17 days ago
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This repository contains the data and models underlying the analyses published in Oesterle, Ran et al. (2024)
- Host: GitHub
- URL: https://github.com/eulerlab/s-on-alpha_dendrites
- Owner: eulerlab
- License: mit
- Created: 2025-01-09T15:43:47.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-08T12:10:47.000Z (about 1 year ago)
- Last Synced: 2025-05-08T12:34:38.936Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 42.6 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Oesterle, Ran et al. (2025)
This repository contains the data and models underlying the analyses published in Oesterle, Ran et al. (2025):
The paper, titled "Task-specific regional circuit adaptations in distinct mouse retinal ganglion cells", can be found here: https://doi.org/10.1126/sciadv.adp7075
The respective preprint, titled "Sustained ON alpha retinal ganglion cells in the temporal retina exhibit task-specific regional adaptions in dendritic signal integration", published in 2024, was uploaded to bioRxiv: https://doi.org/10.1101/2024.03.27.586958
Data and code can be found on G-Node:
https://gin.g-node.org/eulerlab/s-on-alpha-regional
The code without the data can be found on GitHub:
https://github.com/eulerlab/s-on-alpha_dendrites
If not stated otherwise, the code is published under the MIT license.
# Content
## AlphaDjimaging
Code for the database, i.e. to load and preprocess the data, written in python using datajoint.
## AlphaAnalysis
Python code for data analysis and creating figure panels.
## AlphaCNN
Python code for the population model of bipolar cells and retinal ganglion cells.
## AlphaFigures
Inkscape file to create figures from the figure panels.