Brain functional network modeling and analysis based on fMRI: a systematic review
In recent years, the number of patients with neurodegenerative diseases (ie, Alzheimer's
disease, Parkinson's disease, mild cognitive impairment) and mental disorders (ie …
disease, Parkinson's disease, mild cognitive impairment) and mental disorders (ie …
Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach
Deep learning techniques have recently made considerable advances in the field of artificial
intelligence. These methodologies can assist psychologists in early diagnosis of mental …
intelligence. These methodologies can assist psychologists in early diagnosis of mental …
From psychosomatic medicine, brain–computer interface to brain–apparatus communication
In psychosomatic medicine, a harmonious brain–body interaction is an important
cornerstone of physical health. The modern brain–computer interface (BCI), an interaction …
cornerstone of physical health. The modern brain–computer interface (BCI), an interaction …
A transformer-based deep neural network model for SSVEP classification
Steady-state visual evoked potential (SSVEP) is one of the most commonly used control
signals in the brain–computer interface (BCI) systems. However, the conventional spatial …
signals in the brain–computer interface (BCI) systems. However, the conventional spatial …
Sleep quality and electroencephalogram delta power
Delta activity on electroencephalogram (EEG) is considered a biomarker of homeostatic
sleep drive. Delta power is often associated with sleep duration and intensity. Here, we …
sleep drive. Delta power is often associated with sleep duration and intensity. Here, we …
Improving AR-SSVEP recognition accuracy under high ambient brightness through iterative learning
Augmented reality-based brain-computer interface (AR-BCI) system is one of the important
ways to promote BCI technology outside of the laboratory due to its portability and mobility …
ways to promote BCI technology outside of the laboratory due to its portability and mobility …
Revolutionizing Economic Growth Analysis: a Novel Computational Approach to Assessing the Influence of Technological Financial Efficiency on Real Economic …
C Jiang - Journal of the Knowledge Economy, 2024 - Springer
In the pursuit of comprehending the intricate relationship between scientific and
technological financial efficiency and real economic growth, traditional methodologies have …
technological financial efficiency and real economic growth, traditional methodologies have …
Boosters of the metaverse: a review of augmented reality-based brain-computer interface
Z Xu, G Chen, R Zhang - Brain-Apparatus Communication: A …, 2024 - Taylor & Francis
Introduction The ultimate objective of the metaverse is to create a new digital life system
using brain-computer interface (BCI) technology that integrates and even enhances reality …
using brain-computer interface (BCI) technology that integrates and even enhances reality …
[HTML][HTML] 脑-机接口： 如何从实验室到现实场景？
德中尧 - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi= Journal of …, 2021 - ncbi.nlm.nih.gov
脑-机接口（ BCI） 可以概括为利用在线脑信息进行脑与计算机通讯的系统。 BCI
经历了近半个世纪的发展， 虽然在民众中已有了很高的知晓度， 但BCI 在实际场景中的应用 …
经历了近半个世纪的发展， 虽然在民众中已有了很高的知晓度， 但BCI 在实际场景中的应用 …
Ambient brightness issues in AR-BCI applications: Phenomenon and solutions
Augmented reality-based brain-computer interface (AR-BCI) system is one of the important
ways to promote BCI technology outside of the laboratory due to its portability and mobility …
ways to promote BCI technology outside of the laboratory due to its portability and mobility …