Nonlinear effective connectivity measure based on adaptive Neuro Fuzzy Inference System and Granger Causality

Mona Farokhzadi, Gholam-Ali Hossein-Zadeh, Hamid Soltanian-Zadeh

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DOI: 10.1016/j.neuroimage.2018.07.024
Published: 2018-11
Container: NeuroImage
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neuroimage.2018.07.024,
  title = {Nonlinear effective connectivity measure based on adaptive Neuro Fuzzy Inference System and Granger Causality},
  author = {Mona Farokhzadi and Gholam-Ali Hossein-Zadeh and Hamid Soltanian-Zadeh},
  year = {2018},
  journal = {NeuroImage},
  doi = {10.1016/j.neuroimage.2018.07.024},
  url = {https://doi.org/10.1016/j.neuroimage.2018.07.024}
}

RIS

TY  - JOUR
TI  - Nonlinear effective connectivity measure based on adaptive Neuro Fuzzy Inference System and Granger Causality
AU  - Mona Farokhzadi
AU  - Gholam-Ali Hossein-Zadeh
AU  - Hamid Soltanian-Zadeh
PY  - 2018
JO  - NeuroImage
DO  - 10.1016/j.neuroimage.2018.07.024
UR  - https://doi.org/10.1016/j.neuroimage.2018.07.024
ER  -

APA

Farokhzadi, M., Hossein-Zadeh, G., & Soltanian-Zadeh, H. (2018). Nonlinear effective connectivity measure based on adaptive Neuro Fuzzy Inference System and Granger Causality. NeuroImage. https://doi.org/10.1016/j.neuroimage.2018.07.024

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crossref · retrieved 2026-09-24T20:47:12.153Z