HIGHLIGHTS
- who: Junyao Zhu and colleagues from the School of Electrical Engineering, Zhengzhou University, Zhengzhou, China have published the paper: A Fast and Efficient Ensemble Transfer Entropy and Applications in Neural Signals, in the Journal: Entropy 2022, 24, x FOR PEER REVIEW of /2022/
- what: To validate improved coupled signal genthe strength and thethe direction of theefficiency, interactionthe between signal pairs pairs with moderate noises (SNR was above 0 dB) and its performance decreased dramatically when SNR was - 10 dB. erated by a neural mass model were used. The novel TEensemble the authors propose is valid . . .
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