Pretraining alpha rhythm enhancement by neurofeedback facilitates short-term perceptual learning and improves visual acuity by facilitated consolidation [0.03%]
通过神经反馈预训练alpha节律的增强促进短期感知学习并改善视觉功能以实现巩固增强
Ming Chang,Shuntaro Suzuki,Takahiro Kurose et al.
Ming Chang et al.
Introduction: Learning through perceptual training using the Gabor patch (GP) has attracted attention as a new vision restoration technique for myopia and age-related deterioration of visual acuity (VA). However, the task...
Editorial: Affective computing and mental workload assessment to enhance human-machine interaction [0.03%]
情感计算和精神负荷评估增强人机交互研究編者按
Sabrina Iarlori,Andrea Monteriú,David Perpetuini et al.
Sabrina Iarlori et al.
Hybrid framework of fatigue: connecting motivational control and computational moderators to gamma oscillations [0.03%]
疲劳的混合框架：动机控制和计算调节器与伽马振荡的关系连接
Lorraine Borghetti,Taylor Curley,L Jack Rhodes et al.
Lorraine Borghetti et al.
Introduction: There is a need to develop a comprehensive account of time-on-task fatigue effects on performance (i.e., the vigilance decrement) to increase predictive accuracy. We address this need by integrating three in...
Adna Bliek,Daniel Andreas,Philipp Beckerle et al.
Adna Bliek et al.
Bringing together multimodal and multilevel approaches to study the emergence of social bonds between children and improve social AI [0.03%]
融合多模态和多层次方法研究儿童间社会纽带的形成并改进社会AI
Julie Bonnaire,Guillaume Dumas,Justine Cassell
Julie Bonnaire
This protocol paper outlines an innovative multimodal and multilevel approach to studying the emergence and evolution of how children build social bonds with their peers, and its potential application to improving social artificial intellig...
Advancing passive BCIs: a feasibility study of two temporal derivative features and effect size-based feature selection in continuous online EEG-based machine error detection [0.03%]
基于连续在线EEG的机器错误检测的两种时间导数特征及其基于效应量的特征选择的有效性研究 advancements in passive bcis
Yanzhao Pan,Thorsten O Zander,Marius Klug
Yanzhao Pan
The emerging integration of Brain-Computer Interfaces (BCIs) in human-robot collaboration holds promise for dynamic adaptive interaction. The use of electroencephalogram (EEG)-measured error-related potentials (ErrPs) for online error detec...
Assessing cardiovascular stress based on heart rate variability in female shift workers: a multiscale-multifractal analysis approach [0.03%]
基于心率变异性的女班倒工人心血管压力评估：多尺度-多重分形分析方法
Raquel Delgado-Aranda,Guadalupe Dorantes-Méndez,Anna Maria Bianchi et al.
Raquel Delgado-Aranda et al.
Introduction: Sleep-wake cycle disruption caused by shift work may lead to cardiovascular stress, which is observed as an alteration in the behavior of heart rate variability (HRV). In particular, HRV exhibits complex pat...
Right prefrontal activation associated with deviations from expected lipstick texture assessed with functional near-infrared spectroscopy [0.03%]
右前额叶激活与功能近红外光谱仪测定的口红质地偏差有关
Kazue Hirabayashi,Keith Kawabata Duncan,Keiko Tagai et al.
Kazue Hirabayashi et al.
Introduction: There is a continuous consumer demand for ever superior cosmetic products. In marketing, various forms of sensory evaluation are used to measure the consumer experience and provide data with which to improve...
Brain-age estimation with a low-cost EEG-headset: effectiveness and implications for large-scale screening and brain optimization [0.03%]
利用低成本的EEG耳机进行脑龄估算：有效性和大规模筛查及脑优化的启示
John Kounios,Jessica I Fleck,Fengqing Zhang et al.
John Kounios et al.
Over time, pathological, genetic, environmental, and lifestyle factors can age the brain and diminish its functional capabilities. While these factors can lead to disorders that can be diagnosed and treated once they become symptomatic, oft...
Reproducible machine learning research in mental workload classification using EEG [0.03%]
基于EEG的精神负荷分类的可重复机器学习研究
Güliz Demirezen,Tuğba Taşkaya Temizel,Anne-Marie Brouwer
Güliz Demirezen
This study addresses concerns about reproducibility in scientific research, focusing on the use of electroencephalography (EEG) and machine learning to estimate mental workload. We established guidelines for reproducible machine learning re...