Martin Spacek fd9ef83f69 Clarify R/README.md a little | 2 lat temu | |
---|---|---|
.. | ||
README.md | 2 lat temu | |
figure_1.Rmd | 2 lat temu | |
figure_1_S2.Rmd | 2 lat temu | |
figure_1_S3.Rmd | 2 lat temu | |
figure_1_S4.Rmd | 2 lat temu | |
figure_1_S5.Rmd | 2 lat temu | |
figure_1_S6.Rmd | 2 lat temu | |
figure_2.Rmd | 2 lat temu | |
figure_3.Rmd | 2 lat temu | |
figure_3_S1.Rmd | 2 lat temu | |
figure_4.Rmd | 2 lat temu | |
figure_4_S1.Rmd | 2 lat temu | |
figure_5.Rmd | 2 lat temu | |
figure_5_S1.Rmd | 2 lat temu | |
figure_5_S2.Rmd | 2 lat temu | |
figure_6.Rmd | 2 lat temu | |
figure_6_S1.Rmd | 2 lat temu | |
get_data.R | 2 lat temu |
The R markdown files (.Rmd
) contain code for all statistical analyses in R, separately for each figure in the manuscript. The output created by fitting linear mixed-effects models is saved in the corresponding .pdf
files in the parent folder's stats
folder.
For easy programmatic access when plotting in Python, coefficients of the linear models are also saved in .csv
files in the parent folder's stats
folder.
The data exported from Python for use as input to the R analyses are stored in .csv
files in the parent folder's csv
folder. The .csv
input files are parsed by a helper function, get_data.R
, which creates unique IDs for mice, series, experiments, and neurons, required to fit the models.
datacite.yml | |
---|---|
Title | Robust effects of corticothalamic feedback and behavioral state on movie responses in mouse dLGN |
Authors |
Spacek,Martin;LMU Munich;0000-0002-9519-3284
Crombie,Davide;LMU Munich;0000-0003-3424-3249 Bauer,Yannik;LMU Munich;0000-0003-2613-6443 Born,Gergory;LMU Munich;0000-0003-0430-3052 Liu,Xinyu;LMU Munich;0000-0002-3527-6168 Katzner,Steffen;LMU Munich;0000-0002-4424-2197 Busse,Laura;LMU Munich;0000-0002-6127-7754 |
Description | Data and Python code for regenerating plots in Spacek et. al., 2022, published in eLife (https://doi.org/10.7554/eLife.70469). Use `main.py` to load data for all LGN optogenetic experiments as a function of stimulus type (movies, gratings), run state, and opto state. Data are loaded from pandas DataFrames, which are saved as Python pickles. Statistics are computed using the included R code. |
License | Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/) |
References |
Spacek, M. A., Crombie, D., Bauer, Y., Born, G., Liu, X., Katzner, S., Busse, L. Robust effects of corticothalamic feedback and behavioral state on movie responses in mouse dLGN. eLife 11:e70469 (2022) [doi:10.7554/eLife.70469] (IsSupplementTo)
|
Funding |
DFG, SFB 1233 TP 13, project number 276693517
DFG, SFB 870 TP 19, project number 118803580 DFG, BU 1808/5-1 Joachim Herz Stiftung (Joachim Herz Foundation) |
Keywords |
lateral geniculate nucleus
corticothalamic feedback naturalistic movies locomotion pupil dilation firing mode |
Resource Type |
Dataset |