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)
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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