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Updated: May 10, 2026

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
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Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

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HCFNet:一种异质频段,将CNN合起来,在机动图像解码中实现增强的短时间快速响应

Weijie Wu1, Ian Daly2, Weijie Chen1

  • 1Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, PR China.

Journal of neuroscience methods
|February 16, 2026
PubMed
概括

这项研究介绍了HCFNet,这是一种用于解码运动图像信号的新方法. 它通过有效合异质频段来提高脑电脑接口的准确性,优于现有的方法.

关键词:
卷积神经网络 卷积神经网络电脑电图 (电脑电图) 是一种脑电图.快速响应 快速响应频段合频段合 频段合异质化的异质化运动图像 运动图像

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¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...