Welcome to ASCENT’s documentation!

This documentation is an adaptation and update of the supplements associated with the original ASCENT publication.

Please check out the associated publication in PLOS Computational Biology!

Cite the ASCENT paper, PyFibers paper, and the DOI for the release of the repository used for your work. If you use the neural recording feature or SMALL_MRG_INTERPOLATION model, also cite the neural recording paper. We encourage you to clone the most recent commit of the repository.

  • Cite the ASCENT paper:

    Musselman, E. D., Cariello, J. E., Grill, W. M., & Pelot, N. A. (2021). ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves. PLOS Computational Biology, 17(9), e1009285. https://doi.org/10.1371/journal.pcbi.1009285.

    @article{Musselman2021,
  doi = {10.1371/journal.pcbi.1009285},
  url = {https://doi.org/10.1371/journal.pcbi.1009285},
  year = {2021},
  month = sep,
  publisher = {Public Library of Science ({PLoS})},
  volume = {17},
  number = {9},
  pages = {e1009285},
  author = {Eric D. Musselman and Jake E. Cariello and Warren M. Grill and Nicole A. Pelot},
  editor = {Dina Schneidman-Duhovny},
  title = {{ASCENT} (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves},
  journal = {{PLOS} Computational Biology}
}

  • Cite the PyFibers paper:

    Marshall, D. P., Farah, E. S., Musselman, E. D., Pelot, N. A., & Grill, W. M. (2025). PyFibers: An open-source NEURON-Python package to simulate responses of model nerve fibers to electrical stimulation. PLOS Computational Biology, 21(12), e1013764. https://doi.org/10.1371/journal.pcbi.1013764

    @article{Marshall2025,
  title = {PyFibers: An open-source NEURON-Python package to simulate responses of model nerve fibers to electrical stimulation},
  volume = {21},
  ISSN = {1553-7358},
  url = {http://dx.doi.org/10.1371/journal.pcbi.1013764},
  DOI = {10.1371/journal.pcbi.1013764},
  number = {12},
  journal = {PLOS Computational Biology},
  publisher = {Public Library of Science (PLoS)},
  author = {Marshall,  Daniel P. and Farah,  Elie S. and Musselman,  Eric D. and Pelot,  Nicole A. and Grill,  Warren M.},
  editor = {Nogaret,  Alain},
  year = {2025},
  month = dec,
  pages = {e1013764}
}

  • Cite the neural recording paper:

    Peña, E., Pelot, N. A., & Grill, W. M. (2024). Computational models of compound nerve action potentials: Efficient filter-based methods to quantify effects of tissue conductivities, conduction distance, and nerve fiber parameters. PLoS computational biology, 20(3), e1011833. https://doi.org/10.1371/journal.pcbi.1011833.

    @article{Peña2024,
  doi = {10.1371/journal.pcbi.1011833},
  url = {https://doi.org/10.1371/journal.pcbi.1011833},
  year = {2024},
  month = mar,
  publisher = {Public Library of Science ({PLoS})},
  volume = {20},
  number = {3},
  pages = {e1011833},
  author = {Edgar Peña and Nicole A. Pelot, and Warren M. Grill},
  editor = {Kim T. Blackwell},
  title = {Computational models of compound nerve action potentials: Efficient filter-based methods to quantify effects of tissue conductivities, conduction distance, and nerve fiber parameters},
  journal = {{PLOS} Computational Biology}
}
  • Cite the code :

    Replace instances of <DOI> and <version> below with the DOI and version number of code used. Latest release: doi (click to see all releases).

    Musselman, E. D., Cariello, J. E., Grill, W. M., & Pelot, N. A. (2025). wmglab-duke/ascent: ASCENT v<version> (v<version>) [Computer software]. Zenodo. https://doi.org/<DOI>.

    @misc{https://doi.org/<DOI>,
  doi = {<DOI>},
  url = {https://doi.org/<DOI>},
  author = {Musselman,  Eric D and Cariello,  Jake E and Grill,  Warren M and Pelot,  Nicole A},
  title = {wmglab-duke/ascent: ASCENT v<version>},
  publisher = {Zenodo},
  year = {2025},
  copyright = {MIT License}
}

ASCENT is an open source platform for simulating peripheral nerve stimulation. To download the software, visit the ASCENT GitHub repository.

Basic ASCENT Usage

Advanced ASCENT Usage

ASCENT Hierarchies

Reference

External Links