Detecting high‐frequency oscillations in real time during epilepsy surgery with neuromorphic hardware validated to predict postoperative seizure outcome

Jeroen Teurlings, Filippo Costa, Maeike Zijlmans, Maryse A. van ‘t Klooster, Giacomo Indiveri, Niklaus Krayenbühl, Murezi Capaul, Debora Ledergerber, Georgia Ramantani, Johannes Sarnthein

Open source

DOI
10.1002/epi.70400
Published
2026-07-25
Container
Epilepsia
Publisher
Wiley
Open access
unknown

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Cite this work

BibTeX

@article{allodium:10.1002/epi.70400,
  title = {Detecting high‐frequency oscillations in real time during epilepsy surgery with neuromorphic hardware validated to predict postoperative seizure outcome},
  author = {Jeroen Teurlings and Filippo Costa and Maeike Zijlmans and Maryse A. van ‘t Klooster and Giacomo Indiveri and Niklaus Krayenbühl and Murezi Capaul and Debora Ledergerber and Georgia Ramantani and Johannes Sarnthein},
  year = {2026},
  journal = {Epilepsia},
  doi = {10.1002/epi.70400},
  url = {https://doi.org/10.1002/epi.70400}
}

RIS

TY  - JOUR
TI  - Detecting high‐frequency oscillations in real time during epilepsy surgery with neuromorphic hardware validated to predict postoperative seizure outcome
AU  - Jeroen Teurlings
AU  - Filippo Costa
AU  - Maeike Zijlmans
AU  - Maryse A. van ‘t Klooster
AU  - Giacomo Indiveri
AU  - Niklaus Krayenbühl
AU  - Murezi Capaul
AU  - Debora Ledergerber
AU  - Georgia Ramantani
AU  - Johannes Sarnthein
PY  - 2026
JO  - Epilepsia
DO  - 10.1002/epi.70400
UR  - https://doi.org/10.1002/epi.70400
ER  - 

APA

Teurlings, J., Costa, F., Zijlmans, M., Klooster, M. A. V. ‘., Indiveri, G., Krayenbühl, N., Capaul, M., Ledergerber, D., Ramantani, G., & Sarnthein, J. (2026). Detecting high‐frequency oscillations in real time during epilepsy surgery with neuromorphic hardware validated to predict postoperative seizure outcome. Epilepsia. https://doi.org/10.1002/epi.70400

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