Jupyterlab Exploration of Computational Models of Unmyelinated Peripheral Axons

Katie Zhuang

Example JupyterLab environment used to compile, run and display results of neural computational models, based on a SPARC dataset (https://doi.org/10.26275/iiwv-k07f)

Updated on July 8, 2021 (Version 3)

Corresponding Contributor:

Katie Zhuang
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Dataset Overview

Example Data Exploration of a SPARC Dataset using JupyterLab on o²S²PARC

This dataset uses the code submitted by Pelot et al. in https://doi.org/10.26275/iiwv-k07f The study consists of a JupyterLab instance in which users may compile NEURON mechanism files, run Python and M-file simulations, and shows an example of a report that can be generated from the simulation results.


Excitation properties of computational models of unmyelinated peripheral axons Nicole A. Pelot, David C. Catherall, Brandon J. Thio, Nathan D. Titus, Edward D. Liang, Craig S. Henriquez, and Warren M. Grill https://journals.physiology.org/doi/abs/10.1152/jn.00315.2020 Journal of Neurophysiology 2021 125:1, 86-104*

*The data contained in the paper cited above is on the SPARC Portal: https://sparc.science/datasets/86?type=dataset

**Primary code release is on ModelDB: https://senselab.med.yale.edu/ModelDB/showmodel.cshtml?model=266498#tabs-1


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Publishing history

April 9, 2021
Originally Published
July 8, 2021 (Version 3)
Last Updated

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