1.  13
    A Hybrid Brain-Computer Interface Based on Visual Evoked Potential and Pupillary Response.Lu Jiang, Xiaoyang Li, Weihua Pei, Xiaorong Gao & Yijun Wang - 2022 - Frontiers in Human Neuroscience 16.
    Brain-computer interface based on steady-state visual evoked potential has been widely studied due to the high information transfer rate, little user training, and wide subject applicability. However, there are also disadvantages such as visual discomfort and “BCI illiteracy.” To address these problems, this study proposes to use low-frequency stimulations, which can simultaneously elicit visual evoked potential and pupillary response to construct a hybrid BCI system. Classification accuracy was calculated using supervised and unsupervised methods, respectively, and the hybrid accuracy was obtained (...)
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    Learning without consciously knowing: Evidence from event-related potentials in sequence learning.Qiufang Fu, Guangyu Bin, Zoltan Dienes, Xiaolan Fu & Xiaorong Gao - 2013 - Consciousness and Cognition 22 (1):22-34.
    This paper investigated how implicit and explicit knowledge is reflected in event-related potentials in sequence learning. ERPs were recorded during a serial reaction time task. The results showed that there were greater RT benefits for standard compared with deviant stimuli later than early on, indicating sequence learning. After training, more standard triplets were generated under inclusion than exclusion tests and more standard triplets under exclusion than chance level, indicating that participants acquired both explicit and implicit knowledge. However, deviant targets elicited (...)
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    Space distribution of EEG responses to hanoi-moving visual and auditory stimulation with Fourier Independent Component Analysis.Shijun Li, Yi Wang, Guangyu Bin, Xiaoshan Huang, Dan Zhang, Gang Liu, Yanwei Lv, Xiaorong Gao, Shangkai Gao & Lin Ma - 2015 - Frontiers in Human Neuroscience 9.
  4.  9
    Humanoid Robot Walking in Maze Controlled by SSVEP-BCI Based on Augmented Reality Stimulus.Shangen Zhang, Xiaorong Gao & Xiaogang Chen - 2022 - Frontiers in Human Neuroscience 16.
    The application study of robot control based brain-computer interface not only helps to promote the practicality of BCI but also helps to promote the advancement of robot technology, which is of great significance. Among the many obstacles, the importability of the stimulator brings much inconvenience to the robot control task. In this study, augmented reality technology was employed as the visual stimulator of steady-state visual evoked potential -BCI and the robot walking experiment in the maze was designed to testify the (...)
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