Interpretable Machine Learning Identifies an Emergent Absence Seizure Mechanism.

Hull JM, Denomme N, Ganguli S, Huguenard JR

DOI: 10.1101/2025.09.23.678032
Published: 2026 Sep 16
Container: bioRxiv : the preprint server for biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1101/2025.09.23.678032,
  title = {Interpretable Machine Learning Identifies an Emergent Absence Seizure Mechanism.},
  author = {Hull JM and Denomme N and Ganguli S and Huguenard JR},
  year = {2026},
  journal = {bioRxiv : the preprint server for biology},
  doi = {10.1101/2025.09.23.678032},
  url = {https://doi.org/10.1101/2025.09.23.678032}
}

RIS

TY  - JOUR
TI  - Interpretable Machine Learning Identifies an Emergent Absence Seizure Mechanism.
AU  - Hull JM
AU  - Denomme N
AU  - Ganguli S
AU  - Huguenard JR
PY  - 2026
JO  - bioRxiv : the preprint server for biology
DO  - 10.1101/2025.09.23.678032
UR  - https://doi.org/10.1101/2025.09.23.678032
ER  -

APA

JM, H., N, D., S, G., & JR, H. (2026). Interpretable Machine Learning Identifies an Emergent Absence Seizure Mechanism.. bioRxiv : the preprint server for biology. https://doi.org/10.1101/2025.09.23.678032

Source records

pubmed · retrieved 2026-09-25T05:46:10.686Z