Untangling the brain web: from the early days of complex functional networks to the non-linear dynamical directed functional connectivity measures. Chialvo, D. R., Cifre, I., & Ochab, J. K. arXiv:2112.09806 [nlin, q-bio], December, 2021. arXiv: 2112.09806Paper abstract bibtex Already two decades passed since the first applications of graph theory to brain neuroimaging. Since that early description, the characterization of the brain as a very large interacting complex network has evolved in several directions. In this brief review we discuss our contributions to this topic and discuss some perspective for future work.
@article{chialvo_untangling_2021,
title = {Untangling the brain web: from the early days of complex functional networks to the non-linear dynamical directed functional connectivity measures},
shorttitle = {Untangling the brain web},
url = {http://arxiv.org/abs/2112.09806},
abstract = {Already two decades passed since the first applications of graph theory to brain neuroimaging. Since that early description, the characterization of the brain as a very large interacting complex network has evolved in several directions. In this brief review we discuss our contributions to this topic and discuss some perspective for future work.},
urldate = {2022-01-10},
journal = {arXiv:2112.09806 [nlin, q-bio]},
author = {Chialvo, Dante R. and Cifre, Ignacio and Ochab, Jeremi K.},
month = dec,
year = {2021},
note = {arXiv: 2112.09806},
keywords = {Nonlinear Sciences - Adaptation and Self-Organizing Systems, Quantitative Biology - Neurons and Cognition, Quantitative Biology - Quantitative Methods, ⛔ No DOI found},
}
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