Steady-state visually evoked potential collaborative BCI system deep learning classification algorithm based on multi-person feature fusion transfer learning-based convolutional neural network

HIGHLIGHTS

• who: Longlong Cheng and Chao Chen from the South China Normal University, China have published the paper: Steady-state visually evoked potential collaborative BCI system deep learning classification algorithm based on multi-person feature fusion transfer learning-based convolutional neural network, in the Journal: (JOURNAL)
• what: The model adopted in this study is a centralized cBCI system, which does not rely on the voting mechanism of the distributed system, and classification is carried out with a CNN based on TL (TL-CNN). digit classification (LeCun et_al, 1998). In this paper, the classification model is trained . . .
  

   

  

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