High-resolution Bayesian Virtual Epileptic Patient using neural field models.
- DOI
- 10.1162/netn.a.543
- Published
- 2026
- Container
- Network neuroscience (Cambridge, Mass.)
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1162/netn.a.543,
title = {High-resolution Bayesian Virtual Epileptic Patient using neural field models.},
author = {Vattikonda AN and Hashemi M and Woodman MM and Lemarechal JD and Daini D and Bartolomei F and Jirsa V},
year = {2026},
journal = {Network neuroscience (Cambridge, Mass.)},
doi = {10.1162/netn.a.543},
url = {https://doi.org/10.1162/netn.a.543}
}RIS
TY - JOUR TI - High-resolution Bayesian Virtual Epileptic Patient using neural field models. AU - Vattikonda AN AU - Hashemi M AU - Woodman MM AU - Lemarechal JD AU - Daini D AU - Bartolomei F AU - Jirsa V PY - 2026 JO - Network neuroscience (Cambridge, Mass.) DO - 10.1162/netn.a.543 UR - https://doi.org/10.1162/netn.a.543 ER -
APA
AN, V., M, H., MM, W., JD, L., D, D., F, B., & V, J. (2026). High-resolution Bayesian Virtual Epileptic Patient using neural field models.. Network neuroscience (Cambridge, Mass.). https://doi.org/10.1162/netn.a.543
Source records
- pubmed · retrieved 2026-09-25T00:08:06.728Z