Skip to content
Free planNo credit card requiredStart writing

other · Zenodo (CERN European Organization for Nuclear Research) · 2025

Ludwig_HFBlock_NComms_2025: HF Block NComms 2025 code v1.0

Cheng, Kevin, Trevathan, James, Ludwig, Kip

Cited by 0Open access

Abstract

Data analysis scripts for Nature Communications article, "Application of kilohertz-frequency block to mitigate off-target motor effects of vagus nerve stimulation" by Cheng et al. at the University of Wisconsin-Madison. These scripts use a custom version of the pyeCAP (https://pyecap.readthedocs.io/en/latest/) analysis package developed by the Ludwig group at the University of Wisconsin-Madison. Raw data can be found at the following Dryad repository. Dataset DOI: 10.5061/dryad.1rn8pk17k

Cite this paper

APA 7

Cheng, K., Trevathan, J., & Ludwig, K. (2025). Ludwig_HFBlock_NComms_2025: HF Block NComms 2025 code v1.0. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.17781108

MLA 9

Cheng, Kevin, et al. “Ludwig_HFBlock_NComms_2025: HF Block NComms 2025 code v1.0.” Zenodo (CERN European Organization for Nuclear Research), 2025, https://doi.org/10.5281/zenodo.17781108.

Chicago

Cheng, Kevin, James Trevathan, and Kip Ludwig. 2025. “Ludwig_HFBlock_NComms_2025: HF Block NComms 2025 code v1.0.” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.17781108.

Harvard

Cheng, K., Trevathan, J. and Ludwig, K. (2025) ‘Ludwig_HFBlock_NComms_2025: HF Block NComms 2025 code v1.0’, Zenodo (CERN European Organization for Nuclear Research). Available at: https://doi.org/10.5281/zenodo.17781108.

BibTeX
@misc{cheng2025ludwig,
  title = {{Ludwig_HFBlock_NComms_2025: HF Block NComms 2025 code v1.0}},
  author = {Cheng, Kevin and Trevathan, James and Ludwig, Kip},
  journal = {Zenodo (CERN European Organization for Nuclear Research)},
  year = {2025},
  doi = {10.5281/zenodo.17781108}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.