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Tools
Tools
| Item Type: | Dataset |
|---|---|
| Title: | Population encoding of cool and warm by thermoreceptors |
| Creators: |
Whitmire, Clarissa  ORCID: https://orcid.org/0000-0001-5789-4293, Bokiniec, Phillip ORCID: https://orcid.org/0000-0002-3139-4765 and Poulet, James ORCID: https://orcid.org/0000-0003-0296-5415
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| Abstract: | Processed data and analysis code that accompanies the manuscript titled "Population encoding of cool and warm by thermoreceptors" published in Neuron by Bokiniec, Whitmire, & Poulet in 2026 (https://doi.org/10.1016/j.neuron.2026.06.021). The directory includes: - Data: Processed data are provided as .csv files organized by figure. - AnalysisCode: python scripts for the analysis of in vivo calcium imaging data (.csv files in 'Data') - ModelCode: Matlab scripts for the simulation of the computational model The detailed summary is: Data: 2 csv files are provided for each dataset. - *_dataset.csv: contains the fluorescence traces for each ROI including parameterizations of the traces and response type classification as well as associated metadata - *_stim.csv: contains stimulus conditions for the associated dataset including the recorded stimulus trace A third CSV file is provided for some datasets: - *_metadata.csv: contains the key recording parameters and ROI specifications for all ROIs (not just the responsive ROIs included in the *_dataset.csv) Mapping of data to figures can be performed using the Python scripts in AnalysisCode. Analysis code: To run the associated code, install Python on your computer. Create a virtual environment and install the packages within the requirements.txt file. It is possible you will need to upgrade setuptools (pip install --upgrade setuptools). Do not move the data folder as the scripts will look for the data in that folder location. Scripts are organized by manuscript figure. Model Code: To run the associated code, install MATLAB on your computer. IFmodel_Run_*.m will run the model using varying g_TPRM8 values as done in the manuscript. ExperimentalModelComparison.m will compare the experimental data to the model outputs. Figures generated for the manuscript are created in AnalysisCode. |
| Source: | Zenodo |
| Publisher: | CERN |
| Date: | 16 July 2026 |
| Official Publication: | https://doi.org/10.5281/zenodo.20732656 |
| Related to: |
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