Decoding behavior, perception or cognitive state directly from neural signals is critical for
brain–computer interface research and an important tool for systems neuroscience. In the …

As the medium of developing brain–computer interface system, the recognition of EEG
signals is complicated and difficult due to the complex nonstationary characteristics and the …

睡眠分期是研究睡眠疾病的重要途径， 近年来受到了广泛关注。 传统手工标记方法与传统机器
学习算法存在效率低下、 泛化性不足的问题， 虽然近期流行的深度学习网络模型依靠其学习 …

Electroencephalogram (EEG) plays an important role in studying brain function and human
cognitive performance, and the recognition of EEG signals is vital to develop an automatic …

Decoding behavior, perception, or cognitive state directly from neural signals has
applications in brain-computer interface research as well as implications for systems …

Classifying EEG responses to naturalistic acoustic stimuli is of theoretical and practical
importance, but standard approaches are limited by processing individual channels …

Abstract Brain Computer Interfaces (BCIs) offer immense potential to enhance the quality of
life for individuals worldwide, spanning applications in prosthetics, neurofeedback, and …

睡眠分期是研究睡眠疾病的重要途径, 近年来受到了广泛关注. 传统手工标记方法与传统机器
学习算法存在效率低下, 泛化性不足的问题, 虽然近期流行的深度学习网络模型依靠其学习复杂 …

Complex acoustic signals such as speech and music are central to how people coordinate
and communicate temporally. These signals can be described by the way their variability of …

Sleep quality is very important to human health. To detect sleep disorders, sleep scoring is
performed by sleep experts on the polysomnograms that record the activities of different …