Editorial: Neurotechnology for brain-body performance and health: insights from the 2022 Neuroergonomics and NYC Neuromodulation Conference [0.03%]
编辑评论：脑-身表现和健康神经技术：来自2022年神经工效学和纽约神经调节大会的见解
Marom Bikson,Leigh Charvet,Giuseppina Pilloni et al.
Marom Bikson et al.
Editorial: Stress and the brain: advances in neurophysiological measures for mental stress detection and reduction [0.03%]
编者按：压力与大脑：心理压力检测和减压的神经生理测量新进展
Stefania Coelli,Eleonora Maggioni,Martin O Mendez
Stefania Coelli
Editorial: Neurotechnology for sensing the brain out of the lab: methods and applications for mobile functional neuroimaging [0.03%]
编辑来稿：功能性神经影像的移动化：实验室外大脑监测的技术与应用方法学
Hasan Ayaz,Frederic Dehais,Giuseppina Pilloni et al.
Hasan Ayaz et al.
Editorial: Advances and challenges to bridge computational intelligence and neuroscience for brain-computer interface [0.03%]
编者评论：为了脑机接口融合计算智能与神经科学的进展与挑战
Avinash Kumar Singh,Luigi Bianchi,Davide Valeriani et al.
Avinash Kumar Singh et al.
Editorial: Open science to support replicability in neuroergonomic research [0.03%]
促进神经工效学研究可重复性的开放科学政策宣言
Klaus Gramann,Fabien Lotte,Frederic Dehais et al.
Klaus Gramann et al.
Shredding artifacts: extracting brain activity in EEG from extreme artifacts during skateboarding using ASR and ICA [0.03%]
基于ASR和ICA从滑板运动期间的极端伪迹中提取EEG脑信号活动
Daniel E Callan,Juan Jesus Torre-Tresols,Jamie Laguerta et al.
Daniel E Callan et al.
Introduction: To understand brain function in natural real-world settings, it is crucial to acquire brain activity data in noisy environments with diverse artifacts. Electroencephalography (EEG), while susceptible to envi...
Avinash Kumar Singh,Luigi Bianchi
Avinash Kumar Singh
A recent development in deep learning techniques has attracted attention to the decoding and classification of electroencephalogram (EEG) signals. Despite several efforts to utilize different features in EEG signals, a significant research ...
Measuring aviator workload using EEG: an individualized approach to workload manipulation [0.03%]
基于EEG的飞行员工作负荷评测及个体化操纵模型
Kathryn A Feltman,Johnathan F Vogl,Aaron McAtee et al.
Kathryn A Feltman et al.
Introduction: Measuring an operator's physiological state and using that data to predict future performance decrements has been an ongoing goal in many areas of transportation. Regarding Army aviation, the realization of ...
Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications [0.03%]
基于fNIRS的实时脑功能成像的空间特异性和信号质量优化综述
Franziska Klein
Franziska Klein
The optical brain imaging method functional near-infrared spectroscopy (fNIRS) is a promising tool for real-time applications such as neurofeedback and brain-computer interfaces. Its combination of spatial specificity and mobility makes it ...
Visuo-haptic prediction errors: a multimodal dataset (EEG, motion) in BIDS format indexing mismatches in haptic interaction [0.03%]
视触觉预测误差：一种多模式数据集（EEG、运动），BIDS格式索引触觉交互中的不匹配现象
Lukas Gehrke,Leonie Terfurth,Sezen Akman et al.
Lukas Gehrke et al.