A5084688075- EEG and Brain-Computer Interfaces
- Human-Automation Interaction and Safety
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Advanced Harmonic Analysis Research
- Heart Rate Variability and Autonomic Control
- Advanced Banach Space Theory
- Differential Equations and Boundary Problems
- Parkinson's Disease Mechanisms and Treatments
- Gaze Tracking and Assistive Technology
- Mathematical functions and polynomials
- Zebrafish Biomedical Research Applications
- Healthcare Technology and Patient Monitoring
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Neurotransmitter Receptor Influence on Behavior
- Holomorphic and Operator Theory
- Optical Imaging and Spectroscopy Techniques
- Sleep and Work-Related Fatigue
- Attention Deficit Hyperactivity Disorder
- Neuroscience and Neuropharmacology Research
- Neurological disorders and treatments
- Emotion and Mood Recognition
Beijing Normal University
2018-2024
Xuzhou Medical College
2023-2024
South China University of Technology
2024
State Key Laboratory of Cognitive Neuroscience and Learning
2023
Chinese Institute for Brain Research
2022
Automatic emotion recognition based on multichannel electroencephalogram (EEG) data is a fundamental but challenging problem. Some previous researches ignore the correlation information of brain activity among inter-channel and inter-frequency bands, which may provide potential related to emotional states. In this work, we propose 3-D feature construction method spatial-spectral information. First, power values per channel are arranged into 2-D spatial representation according position...
Parkinson's disease can affect not only motor functions but also cognitive abilities, leading to impairment. One common issue in with dysfunction is the difficulty executive functioning. Executive help us plan, organize, and control our actions based on goals. The brain area responsible for called prefrontal cortex. It acts as command center brain, especially when it comes regulating functions. role of cortex processes influenced by a chemical messenger dopamine. However, little known about...
Abstract Objective . Mental workload is the result of interactions between demands an operation task, environment in which task performed, and skills, behavior perception performer. Working under a high mental can significantly affect operator’s ability to choose optimal decisions, judgments motor actions while operating unmanned aerial vehicle (UAV). However, effect schema, reflects level expertise operator, on remains unclear. Here, we propose theoretical framework for describing how...
The study of mental workload has attracted much interest in neuroergonomics, a frontier field research. However, there appears no consensus on how to measure effectively because the is not only regulated by task difficulty but also affected individual skill level reflected as schema. In this study, we investigated alterations functional brain network induced 10-day simulated piloting with different levels. Topological features quantifying global and local information communication...
Objective.The understanding of cognitive states is important for the development human-machine systems (HMSs), and one fundamental but challenging issues assessment operator's mental stress state in real task scenarios.Approach.In this paper, a virtual unmanned vehicle (UAV) driving with multi-challenge-level was created to explore stress, human brain activity during tracked time via electroencephalography (EEG). A analysis dataset UAV then developed used neural activation patterns...
Objective. In the emerging field of neuroergonomics, mental workload assessment is one most important problems. Previous studies have made some progress on relationship between task difficulties and workload, but how schema, a reflection understanding mastery degree task, affects has not been clearly discussed.Approach. There appreciation for role theta-gamma coupling (TGC) in high-level cognitive functions. Here, we attempt to further our schema development difficulty had an impact from...
Objective.Estimation of mental workload (MWL) levels by electroencephalography (EEG)-based state monitoring systems has been widely explored. Using event-related potentials (ERPs), elicited ignored auditory probes, minimizes intrusiveness and shown high performance for estimating MWL level when tested in laboratory situations. However, facing real-world applications, the characteristics ERP waveforms, like latency amplitude, are often affected noise, which leads to a decrease classification...
Abstract This study is centered on the evaluation of executive functions (EFs) in a Parkinson's disease (PD) mouse model using 5-Choice Serial Reaction Time Task (5-CSRT), with specific focus investigating potential impact lyso-phosphatidylcholine (LPC) dysfunction pathogenesis PD. The overarching goal to establish comprehensive framework and baseline for touch screen behavior analysis PD mice.The research encompassed utilization SNCA*A53T transgenic mice C57BL/6J wild-type mice. A rigorous...
Accurate assessment of user mental stress in human-machine system plays a crucial role ensuring task performance and safety. However, the underlying neural mechanisms tasks methods based on physiological indicators remain fundamental challenges. In this paper, we employ virtual unmanned aerial vehicle (UAV) control experiment to explore reorganization functional brain network patterns under conditions. The results indicate enhanced connectivity frontal theta band central beta band, as well...
In this paper, the objects of our investigation are some dyadic operators, including shifts, multilinear paraproducts and Haar multipliers. We mainly focus on continuity compactness these operators. First, we consider properties Then, by Fr\'echet-Kolmogorov-Riesz-Tsuji theorem, non-compactness operators will be studied. Moreover, show that their commutators compact with \textit{CMO} functions, which is quite different from non-compaceness These results similar to those for...
In this paper, the objects of our investigation are some dyadic operators, including shifts, multilinear paraproducts and Haar multipliers. We mainly focus on continuity compactness these operators. First, we consider properties Then, by Fréchet–Kolmogorov–Riesz–Tsuji theorem, non-compactness operators will be studied. Moreover, show that their commutators compact with $\operatorname{CMO}$ functions, which is quite different from These results similar to those for Calderón–Zygmund singular integral