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An information-theoretic framework to map the spatio-temporal dynamics of the scalp electroencephalogram

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EEG, Information theory

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MLA
Faes, Luca, et al. “An Information-Theoretic Framework to Map the Spatio-Temporal Dynamics of the Scalp Electroencephalogram.” IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, vol. 63, no. 12, 2016, pp. 2488–96.
APA
Faes, L., Marinazzo, D., Nollo, G., & Porta, A. (2016). An information-theoretic framework to map the spatio-temporal dynamics of the scalp electroencephalogram. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 63(12), 2488–2496.
Chicago author-date
Faes, Luca, Daniele Marinazzo, Giandomenico Nollo, and Alberto Porta. 2016. “An Information-Theoretic Framework to Map the Spatio-Temporal Dynamics of the Scalp Electroencephalogram.” IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 63 (12): 2488–96.
Chicago author-date (all authors)
Faes, Luca, Daniele Marinazzo, Giandomenico Nollo, and Alberto Porta. 2016. “An Information-Theoretic Framework to Map the Spatio-Temporal Dynamics of the Scalp Electroencephalogram.” IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 63 (12): 2488–2496.
Vancouver
1.
Faes L, Marinazzo D, Nollo G, Porta A. An information-theoretic framework to map the spatio-temporal dynamics of the scalp electroencephalogram. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 2016;63(12):2488–96.
IEEE
[1]
L. Faes, D. Marinazzo, G. Nollo, and A. Porta, “An information-theoretic framework to map the spatio-temporal dynamics of the scalp electroencephalogram,” IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, vol. 63, no. 12, pp. 2488–2496, 2016.
@article{7224801,
  author       = {Faes, Luca and Marinazzo, Daniele and Nollo, Giandomenico and Porta, Alberto},
  issn         = {0018-9294},
  journal      = {IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING},
  keywords     = {EEG,Information theory},
  language     = {eng},
  number       = {12},
  pages        = {2488--2496},
  title        = {An information-theoretic framework to map the spatio-temporal dynamics of the scalp electroencephalogram},
  url          = {http://dx.doi.org/10.1109/TBME.2016.2569823},
  volume       = {63},
  year         = {2016},
}

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