The code and data related to the paper titled "Texture perception at the foot sole"

Reference

Cleland, L. D., Rupani, M., Blaise, C. R., Elmmers, T. J., & Saal, H. P. (2024). Texture perception at the foot sole: Comparison between walking, sitting, and the hand. Journal of Neurophysiology. DOI: 10.1152/jn.00170.2024.

Paper authors:

• Luke D Cleland^1,2,3* - [email protected] - repository manager - ORCID ID: 0000-0001-8486-2780
• Mia Rupani¹
• Celia Blaise^1,4 - ORCID ID: 0009-0006-9646-7394
• Toby J Ellmers⁵ - [email protected] - ORDIC ID: 0000-0001-9595-6360
• Hannes P Saal^1,2,3 - [email protected] - ORCID ID: 0000-0002-7544-0196

¹ Active Touch Laboratory, Department of Psychology, University of Sheffield, Sheffield, UK
² Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, UK
³ Neuroscience Institute, University of Sheffield, Sheffield, UK
⁴ Cognitive Studies, Department of Philosophy, University of Sheffield, Sheffield, UK
⁵ Centre for Vestibular Neurology, Department of Brain Sciences, Imperial College London, London, UK
^* Corresponding author

Repository author

All code within this repository is authored by Luke Cleland unless otherwise specified.

Contents of the repository

• /administration contains the project checklist with task descriptions, consent form and information sheet
• /code contains all files of code required to collate, process and analyse the data
• /processed_data contains preprocessed data that is used for data analysis. These files are used for later analysis and figure generations
• /individual_figures contains the individual figures used to generate panels within the manuscript
• /paper_figures contains the panels found within the manuscript

Data on the Open Science Framework ()

• /raw_data contains all raw data files relating to participant ratings. Should be saved in a folder named Data within this repository
  • /participant id - /.xslx raw data files
• /processed_data contains files with pre-processed data in will be saved following the processing pipeline.

Versions:

• Python 3.8.5
• Numpy 1.19.1
• Pandas 2.0.3
• Matplotlib 3.3.1
• Seaborn 0.11.1
• Scipy 1.10.1
• Scikit-learn - 0.23.2

Acknowledgements

L.D.C. is supported by a studentship from the MRC Discovery Medicine North (DiMeN) Doctoral Training Partnership (MR/N013840/1). T.J.E. is supported by a Wellcome Trust Sir Henry Wellcome Fellowship (222747/Z/21/Z).