5 papers
DSAINet: An Efficient Dual-Scale Attentive Interaction Network for General EEG Decoding
Zhiyuan Ma, Zeyuan Li, Zihao Qiu +6
In real-world applications of noninvasive electroencephalography (EEG), specialized decoders often show limited generalizability across diverse tasks under subject-independent sett…
LI-DSN: A Layer-wise Interactive Dual-Stream Network for EEG Decoding
Chenghao Yue, Zhiyuan Ma, Zhongye Xia +4
Electroencephalography (EEG) provides a non-invasive window into brain activity, offering high temporal resolution crucial for understanding and interacting with neural processes t…
CRCC: Contrast-Based Robust Cross-Subject and Cross-Site Representation Learning for EEG
Xiaobin Wong, Zhonghua Zhao, Haoran Guo +5
EEG-based neural decoding models often fail to generalize across acquisition sites due to structured, site-dependent biases implicitly exploited during training. We reformulate cro…
Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition
Xinke Shen, Runmin Gan, Kaixuan Wang +5
Electroencephalogram (EEG)-based emotion decoding can objectively quantify people's emotional state and has broad application prospects in human-computer interaction and early dete…
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience
Xinke Shen, Lingyi Tao, Xuyang Chen +3
Neural representations induced by naturalistic stimuli offer insights into how humans respond to stimuli in daily life. Understanding neural mechanisms underlying naturalistic stim…