Buccellato, A.; Çatal, Y.; Bisiacchi, P.; Zang, D.; Zilio, F.; Wang, Z.; Qi, Z.; Zheng, R.; Xu, Z.; Wu, X.;
et al. Probing Intrinsic Neural Timescales in EEG with an Information-Theory Inspired Approach: Permutation Entropy Time Delay Estimation (PE-TD). Entropy 2023, 25, 1086.
https://doi.org/10.3390/e25071086
AMA Style
Buccellato A, Çatal Y, Bisiacchi P, Zang D, Zilio F, Wang Z, Qi Z, Zheng R, Xu Z, Wu X,
et al. Probing Intrinsic Neural Timescales in EEG with an Information-Theory Inspired Approach: Permutation Entropy Time Delay Estimation (PE-TD). Entropy. 2023; 25(7):1086.
https://doi.org/10.3390/e25071086
Chicago/Turabian Style
Buccellato, Andrea, Yasir Çatal, Patrizia Bisiacchi, Di Zang, Federico Zilio, Zhe Wang, Zengxin Qi, Ruizhe Zheng, Zeyu Xu, Xuehai Wu,
and et al. 2023. "Probing Intrinsic Neural Timescales in EEG with an Information-Theory Inspired Approach: Permutation Entropy Time Delay Estimation (PE-TD)" Entropy 25, no. 7: 1086.
https://doi.org/10.3390/e25071086
APA Style
Buccellato, A., Çatal, Y., Bisiacchi, P., Zang, D., Zilio, F., Wang, Z., Qi, Z., Zheng, R., Xu, Z., Wu, X., Del Felice, A., Mao, Y., & Northoff, G.
(2023). Probing Intrinsic Neural Timescales in EEG with an Information-Theory Inspired Approach: Permutation Entropy Time Delay Estimation (PE-TD). Entropy, 25(7), 1086.
https://doi.org/10.3390/e25071086