Corrigendum: Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI(Front. Neurosci., (2022), 16, (971039), 10.3389/fnins.2022.971039)

Penghai Li, Jianxian Su, Abdelkader Nasreddine Belkacem, Longlong Cheng, Chao Chen

Research output: Contribution to journalComment/debatepeer-review

2 Citations (Scopus)

Abstract

In the published article, there was an error in the article title as published. Instead of “Steady-state visually evoked potential collaborative BCI system deep learning classification algorithm based on multi-person feature fusion transfer learning-based convolutional neural network,” it should be “Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI.” The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Original languageEnglish
Article number1024150
JournalFrontiers in Neuroscience
Volume16
DOIs
Publication statusPublished - Oct 26 2022

Keywords

  • collaborative BCI
  • convolutional neural network
  • feature fusion
  • steady-state visually evoked potential
  • transfer learning

ASJC Scopus subject areas

  • General Neuroscience

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