Electroencephalography (EEG) is an emerging biometric trait because it is difficult to steal or forge and requires acquisition from living subjects. However, many EEG-based person identification methods rely on large enrollment datasets, increasing acquisition burden and limiting practical deployment. To address this i...
Xing-Han Shao, Hai-Xian Wang, Zheng-Ping Wu· Italian National Conference...· 0 citations
Recent advances in fMRI-based semantic decoding and visual reconstruction have achieved remarkable progress. However, severe inter-subject variability and the scarcity of paired fMRI-image data remain major obstacles to cross-subject generalization. To overcome these challenges, we propose DeID-Aligner, a brain functio...
Xu Yin, John Q. Gan, Ming Yang et al.· NeuroImage· 0 citations
These findings confirm that lower limb movements exhibit robust lateralization patterns, and the observed similarity between actual and imagined movements suggests a common neural substrate, providing insights into the neural network organization that may inform future brain computer interface research.
Lingyun Gu, Hongfang Han, Hai-Xian Wang et al.· Journal of Neuroscience Meth...· 0 citations
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