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Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI

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The integrative neuroscience of behavioral control (Neuroscience)
Keywords
granger causality, information theory, fmri

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Citation

Please use this url to cite or link to this publication:

Chicago
Stramaglia, Sebastiano, Leonardo Angelini, Guorong Wu, Jesus Cortes, Luca Faes, and Daniele Marinazzo. 2016. “Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI.” Ieee Transactions on Biomedical Engineering 63 (12): 2518–2524.
APA
Stramaglia, Sebastiano, Angelini, L., Wu, G., Cortes, J., Faes, L., & Marinazzo, D. (2016). Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING , 63(12), 2518–2524.
Vancouver
1.
Stramaglia S, Angelini L, Wu G, Cortes J, Faes L, Marinazzo D. Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING . 2016;63(12):2518–24.
MLA
Stramaglia, Sebastiano, Leonardo Angelini, Guorong Wu, et al. “Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI.” IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 63.12 (2016): 2518–2524. Print.
@article{7213424,
  author       = {Stramaglia, Sebastiano and Angelini, Leonardo and Wu, Guorong and Cortes, Jesus and Faes, Luca and Marinazzo, Daniele},
  issn         = {0018-9294 },
  journal      = {IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING },
  keyword      = {granger causality,information theory,fmri},
  language     = {eng},
  number       = {12},
  pages        = {2518--2524},
  title        = {Synergetic and redundant information flow detected by unnormalized Granger causality: application to resting state fMRI},
  url          = {http://dx.doi.org/10.1109/TBME.2016.2559578},
  volume       = {63},
  year         = {2016},
}

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