A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual

Xiyu Song1, Ying Zeng1,2, Li Tong1

  • 1Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China.

Summary

This study introduces a new collaborative brain-computer interface (cBCI) framework using mutual learning domain adaptation networks (MLDANet) to improve dynamic visual target detection. The MLDANet-cBCI significantly enhances group detection performance and individual network capabilities.

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