A network-control approach to seizure intervention via adjoint optimal control: a computational study on a connectome-coupled Hopf oscillator model

Samarth Muralidhara, Aadi Deosthale, Yashas Anil

Open source

DOI: 10.1007/s11571-026-10583-4
Published: 2026-11-02
Container: Cognitive Neurodynamics
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11571-026-10583-4,
  title = {A network-control approach to seizure intervention via adjoint optimal control: a computational study on a connectome-coupled Hopf oscillator model},
  author = {Samarth Muralidhara and Aadi Deosthale and Yashas Anil},
  year = {2026},
  journal = {Cognitive Neurodynamics},
  doi = {10.1007/s11571-026-10583-4},
  url = {https://doi.org/10.1007/s11571-026-10583-4}
}

RIS

TY  - JOUR
TI  - A network-control approach to seizure intervention via adjoint optimal control: a computational study on a connectome-coupled Hopf oscillator model
AU  - Samarth Muralidhara
AU  - Aadi Deosthale
AU  - Yashas Anil
PY  - 2026
JO  - Cognitive Neurodynamics
DO  - 10.1007/s11571-026-10583-4
UR  - https://doi.org/10.1007/s11571-026-10583-4
ER  -

APA

Muralidhara, S., Deosthale, A., & Anil, Y. (2026). A network-control approach to seizure intervention via adjoint optimal control: a computational study on a connectome-coupled Hopf oscillator model. Cognitive Neurodynamics. https://doi.org/10.1007/s11571-026-10583-4

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crossref · retrieved 2026-11-10T09:53:07.162Z