A Scalable Framework for Closed-Loop Neuromodulation with Deep Learning
- DOI
- 10.1101/2023.01.18.524615
- Published
- 2023-01-20
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- Not recorded
- Publisher
- openRxiv
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1101/2023.01.18.524615,
title = {A Scalable Framework for Closed-Loop Neuromodulation with Deep Learning},
author = {Nigel Gebodh and Vladimir Miskovic and Sarah Laszlo and Abhishek Datta and Marom Bikson},
year = {2023},
doi = {10.1101/2023.01.18.524615},
url = {https://doi.org/10.1101/2023.01.18.524615}
}RIS
TY - JOUR TI - A Scalable Framework for Closed-Loop Neuromodulation with Deep Learning AU - Nigel Gebodh AU - Vladimir Miskovic AU - Sarah Laszlo AU - Abhishek Datta AU - Marom Bikson PY - 2023 DO - 10.1101/2023.01.18.524615 UR - https://doi.org/10.1101/2023.01.18.524615 ER -
APA
Gebodh, N., Miskovic, V., Laszlo, S., Datta, A., & Bikson, M. (2023). A Scalable Framework for Closed-Loop Neuromodulation with Deep Learning. https://doi.org/10.1101/2023.01.18.524615
Source records
- crossref · retrieved 2026-09-26T10:31:27.335Z