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Titlebook: Augmented Cognition. Neurocognition and Machine Learning; 11th International C Dylan D. Schmorrow,Cali M. Fidopiastis Conference proceeding

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發(fā)表于 2025-3-21 18:06:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Augmented Cognition. Neurocognition and Machine Learning
期刊簡(jiǎn)稱11th International C
影響因子2023Dylan D. Schmorrow,Cali M. Fidopiastis
視頻videohttp://file.papertrans.cn/166/165508/165508.mp4
發(fā)行地址Includes supplementary material: .Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Augmented Cognition. Neurocognition and Machine Learning; 11th International C Dylan D. Schmorrow,Cali M. Fidopiastis Conference proceeding
影響因子This volume constitutes the proceedings of the 11th International Conference on Augmented Cognition, AC 2017, held as part of the International Conference on Human-Computer Interaction, HCII 2017, which took place in Vancouver, BC, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The papers thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas..The two volumes set of AC 2017 presents 81 papers which are organized in the following topical sections: electroencephalography and brain activity measurement, eye tracking in augmented cognition, physiological measuring and bio-sensing, machine learning in augmented cognition, cognitive load and performance, adaptive learning systems, brain-computer interfaces, human cognition and behavior in complex tasks and environments..
Pindex Conference proceedings 2017
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Testing the Specificity of EEG Neurofeedback Training on First- and Second-Order Measures of Attentis been shown to be related to cognitive benefits and wellbeing. The current paper addresses the specificity of three neurofeedback protocols in influencing first- (basic Stroop effect) and second-order (Gratton effect) measures of attentional control. The data come from two previously presented stud
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Neural Dynamics of Spontaneous Thought: An Electroencephalographic Study functional neuroimaging studies of spontaneous thought have revealed general brain recruitment centered on a combination of default mode network and executive regions. Despite recent findings about general brain recruitment, very little is known about how these regions are recruited dynamically ove
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Investigating Brain Dynamics in Industrial Environment – Integrating Mobile EEG and Kinect for Cogniinvestigated attention related modalities of P300 ERP component and engagement index (EI), which is extracted from signal power ratios of α, β and θ frequency bands. Simultaneously, we quantified the task unrelated movements, which are previously reported to be related to attention level, in an auto
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Characteristic Alpha Reflects Predictive Anticipatory Activity (PAA) in an Auditory-Visual Taskerature in this controversial field, I present an exploratory EEG study that addresses this hypothesis. I used a pattern classification algorithm drawing on EEG data prior to stimulus presentation to successfully predict upcoming motor responses that were constrained by the upcoming stimulus. Both t
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