Non-invasive inference of information flow using diffusion MRI, functional MRI, and MEG.
- DOI
- 10.1088/1741-2552/ab95ec
- Published
- 2020 Jul 10
- Container
- Journal of neural engineering
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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:10.1088/1741-2552/ab95ec,
title = {Non-invasive inference of information flow using diffusion MRI, functional MRI, and MEG.},
author = {Deslauriers-Gauthier S and Costantini I and Deriche R},
year = {2020},
journal = {Journal of neural engineering},
doi = {10.1088/1741-2552/ab95ec},
url = {https://doi.org/10.1088/1741-2552/ab95ec}
}RIS
TY - JOUR TI - Non-invasive inference of information flow using diffusion MRI, functional MRI, and MEG. AU - Deslauriers-Gauthier S AU - Costantini I AU - Deriche R PY - 2020 JO - Journal of neural engineering DO - 10.1088/1741-2552/ab95ec UR - https://doi.org/10.1088/1741-2552/ab95ec ER -
APA
S, D., I, C., & R, D. (2020). Non-invasive inference of information flow using diffusion MRI, functional MRI, and MEG.. Journal of neural engineering. https://doi.org/10.1088/1741-2552/ab95ec
Source records
- pubmed · retrieved 2026-09-25T14:38:40.159Z