Quantifying the effects of vagus nerve stimulation on gastric myoelectric activity in ferrets using an interpretable machine learning approach

Mahmoud Zeydabadinezhad, Charles C. Horn, Babak Mahmoudi

Open source

DOI
10.1371/journal.pone.0295297
Published
2023-12-01
Container
PLOS ONE
Publisher
Public Library of Science (PLoS)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0295297,
  title = {Quantifying the effects of vagus nerve stimulation on gastric myoelectric activity in ferrets using an interpretable machine learning approach},
  author = {Mahmoud Zeydabadinezhad and Charles C. Horn and Babak Mahmoudi},
  year = {2023},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0295297},
  url = {https://doi.org/10.1371/journal.pone.0295297}
}

RIS

TY  - JOUR
TI  - Quantifying the effects of vagus nerve stimulation on gastric myoelectric activity in ferrets using an interpretable machine learning approach
AU  - Mahmoud Zeydabadinezhad
AU  - Charles C. Horn
AU  - Babak Mahmoudi
PY  - 2023
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0295297
UR  - https://doi.org/10.1371/journal.pone.0295297
ER  - 

APA

Zeydabadinezhad, M., Horn, C. C., & Mahmoudi, B. (2023). Quantifying the effects of vagus nerve stimulation on gastric myoelectric activity in ferrets using an interpretable machine learning approach. PLOS ONE. https://doi.org/10.1371/journal.pone.0295297

Source records