Data and code for "Robust effects of corticothalamic feedback and behavioral state on movie responses in mouse dLGN"

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README.md

Data and code for Spacek et. al., 2022, "Robust effects of corticothalamic feedback and behavioral state on movie responses in mouse dLGN", published in eLife.

https://doi.org/10.7554/eLife.70469

Use main.py to load data for all LGN opto 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 in the pickles folder.

Run main.py at the IPython command line, or in Jupyter; the -i runs scripts in IPython/Jupyter's namespace instead of an empty one:

run -i main.py

pvmvis (default) or ntsrmvis can be provided as an --exptype= argument to this main.py, to load and then plot PV-Cre (most of the paper) or Ntsr1-Cre (Fig S4) data, respectively.

Results can be plotted by executing the desired figx.py file in the same namespace:

run -i fig1.py
run -i fig2.py
run -i fig3.py
run -i fig4.py
run -i fig5.py
run -i fig6.py

Not all supplementary panels/figures have their own script, some are integrated into their parent figure's script for convenience:

run -i fig1S33S1.py
run -i fig1S4.py
run -i fig1S5.py
run -i fig1S6.py
run -i fig4S1.py
run -i fig5S2.py
run -i ipos.py

Note that depending on your system, you may have to call plt.show() to actually display figure windows after running one or more of the above scripts. Use cf() to quickly close all figures.

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 Attribution 4.0 International Public License (https://creativecommons.org/licenses/by/4.0/)
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