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eulerlab
/
s-on-alpha-regional
DOI
10.12751/g-node.7g8dd6
3
0
Atdalīts 1
Faili Problēmas 0 Izmaiņu pieprasījumi 0 Vikivietne

This repository contains the data and models underlying the analyses published in Oesterle, Ran et al. (2024)

Atzars: master
Atzari Tagi
s-on-alpha-r...
Jonathan Oesterle 9bf15f486c gin commit from DESKTOP-PE0A79K 3 nedēļas atpakaļ
code c6912bd5f2 gin commit from DESKTOP-PE0A79K 3 nedēļas atpakaļ
data 9bf15f486c gin commit from DESKTOP-PE0A79K 3 nedēļas atpakaļ
.gitignore 50452673a0 gin commit from DESKTOP-PE0A79K 1 mēnesi atpakaļ
LICENSE e6e69d4646 gin commit from DESKTOP-PE0A79K 3 nedēļas atpakaļ
README.md f703cb612d gin commit from DESKTOP-PE0A79K 3 nedēļas atpakaļ
datacite.yml 2850ec4f26 gin commit from DESKTOP-PE0A79K 3 nedēļas atpakaļ

README.md

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).

datacite.yml
Title Task-specific regional circuit adaptations in distinct mouse retinal ganglion cells
Authors Oesterle,Jonathan;Institute for Ophthalmic Research, University of Tübingen, Germany; Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany;ORCID:0000-0001-8919-1445
Ran,Yanli;Institute for Ophthalmic Research, University of Tübingen, Germany; Institute of Physiology, School of Basic Medical Sciences, Lanzhou University, China
Stahr,Paul;Max Planck Institute for Neurobiology of Behavior, Bonn, Germany
Kerr,Jason ND;Max Planck Institute for Neurobiology of Behavior, Bonn, Germany;ORCID:0000-0001-9459-883X
Schubert,Timm;Institute for Ophthalmic Research, University of Tübingen, Germany
Berens,Philipp;Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany;ORCID:0000-0002-0199-4727
Euler,Thomas;Institute for Ophthalmic Research, University of Tübingen, Germany;ORCID:0000-0002-4567-6966
Description This repository contains the data, analysis pipeline, and models underlying the analyses published in Oesterle, Ran et al. Our study provides evidence that the mouse retina shows regional adaptations in signal processing, enhancing their ability to detect prey during hunting.
License Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/)
References Sustained ON alpha retinal ganglion cells in the temporal retina exhibit task-specific regional adaptions in dendritic signal integration [doi:10.1101/2024.03.27.586958] (IsSupplementTo)
Funding DFG; BE 5601/6-1
DFG; BE 5601/9-1
DFG; EU 42/10-1
DFG; EU 42/12-1
NSFC; YR 32200810
MPG
Keywords Neuroscience
Retinal ganglion cells
Visual ecology
Regional circuit adaptations
Resource Type Dataset