Search Results - "Zhao, Shaokai"
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ReliefF-Based EEG Sensor Selection Methods for Emotion Recognition
Published in Sensors (Basel, Switzerland) (22-09-2016)“…Electroencephalogram (EEG) signals recorded from sensor electrodes on the scalp can directly detect the brain dynamics in response to different emotional…”
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The association between social rewards and anxiety: Links from neurophysiological analysis in virtual reality and social interaction game
Published in NeuroImage (Orlando, Fla.) (01-10-2024)“…•We combined virtual reality & simultaneous EEG-ECG recording to probe the neurophysiological responses of negative emotions, which can be considered as…”
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Early-stage dysfunction of hippocampal theta and gamma oscillations and its modulation of neural network in a transgenic 5xFAD mouse model
Published in Neurobiology of aging (01-10-2020)“…Alzheimer's disease (AD) is pathologically characterized by amyloid-β (Aβ) accumulation, which induces Aβ-dependent neuronal dysfunctions. We focused on the…”
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The increasing instance of negative emotion reduce the performance of emotion recognition
Published in Frontiers in human neuroscience (13-10-2023)“…Emotion recognition plays a crucial role in affective computing. Recent studies have demonstrated that the fuzzy boundaries among negative emotions make…”
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Sleep deprivation changes frequency-specific functional organization of the resting human brain
Published in Brain research bulletin (01-05-2024)“…Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies have widely explored the temporal connection changes in the human brain…”
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Effect of Phase Clustering Bias on Phase-Amplitude Coupling for Emotional EEG
Published in Journal of integrative neuroscience (18-02-2024)“…Emotions are thought to be related to distinct patterns of neural oscillations, but the interactions among multi-frequency neural oscillations during different…”
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Fusion of Multi-domain EEG Signatures Improves Emotion Recognition
Published in Journal of integrative neuroscience (19-01-2024)“…Affective computing has gained increasing attention in the area of the human-computer interface where electroencephalography (EEG)-based emotion recognition…”
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Classification of EEG Signals Based on Sparrow Search Algorithm-Deep Belief Network for Brain-Computer Interface
Published in Bioengineering (Basel) (01-01-2024)“…In brain-computer interface (BCI) systems, challenges are presented by the recognition of motor imagery (MI) brain signals. Established recognition approaches…”
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An Improved Canonical Correlation Analysis for EEG Inter-Band Correlation Extraction
Published in Bioengineering (Basel) (01-10-2023)“…(1) Background: Emotion recognition based on EEG signals is a rapidly growing and promising research field in affective computing. However, traditional methods…”
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Chronic corticosterone exposure impairs emotional regulation and cognitive function through disturbing neural oscillations in mice
Published in Behavioural brain research (26-09-2022)Get full text
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Adaptive asynchronous control system of robotic arm based on augmented reality-assisted brain-computer interface
Published in Journal of neural engineering (01-12-2021)“… Brain-controlled robotic arms have shown broad application prospects with the development of robotics, science and information decoding. However,…”
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Multimodal Vigilance Estimation With Modality-Pairwise Contrastive Loss
Published in IEEE transactions on biomedical engineering (01-04-2024)“…Nowadays, how to estimate vigilance with higher accuracy has become a hot field of research direction. Although the increasing available modalities opens the…”
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Spatial localization in target detection based on decoding N2pc component
Published in Journal of neuroscience methods (01-03-2022)“…The Gaze-independent BCI system is used to restore communication in patients with eye movement disorders. One available control mechanism is the utilization of…”
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Application of expert system and LSTM in extracting index of synaptic plasticity
Published in Cognitive neurodynamics (01-04-2021)“…The indexes of synaptic plasticity, including long-term potentiation (LTP) and long-term depression (LTD), can usually be measured by evaluating the slope…”
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DECAN: A Denoising Encoder via Contrastive Alignment Network for Dry Electrode EEG Emotion Recognition
Published 05-09-2024“…EEG signal is important for brain-computer interfaces (BCI). Nevertheless, existing dry and wet electrodes are difficult to balance between high…”
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Emotional-state brain network analysis revealed by minimum spanning tree using EEG signals
Published in 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (01-12-2018)“…Brain networks have been widely constructed in affective computing. The use of it may cause the bias of emotional brain network analysis because of the…”
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