Novel measures of pairwise time series interdependence using graph permutation entropies: An application to brain functional connectivity.
- DOI
- 10.1016/j.compbiomed.2026.111682
- Published
- 2026 Jun
- Container
- Computers in biology and medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiomed.2026.111682,
title = {Novel measures of pairwise time series interdependence using graph permutation entropies: An application to brain functional connectivity.},
author = {Lima JB and Bispo BC and da Silva Neto EF and Morgado P},
year = {2026},
journal = {Computers in biology and medicine},
doi = {10.1016/j.compbiomed.2026.111682},
url = {https://doi.org/10.1016/j.compbiomed.2026.111682}
}RIS
TY - JOUR TI - Novel measures of pairwise time series interdependence using graph permutation entropies: An application to brain functional connectivity. AU - Lima JB AU - Bispo BC AU - da Silva Neto EF AU - Morgado P PY - 2026 JO - Computers in biology and medicine DO - 10.1016/j.compbiomed.2026.111682 UR - https://doi.org/10.1016/j.compbiomed.2026.111682 ER -
APA
JB, L., BC, B., EF, D. S. N., & P, M. (2026). Novel measures of pairwise time series interdependence using graph permutation entropies: An application to brain functional connectivity.. Computers in biology and medicine. https://doi.org/10.1016/j.compbiomed.2026.111682
Source records
- pubmed · retrieved 2026-09-26T10:37:34.803Z