A two-branch cnn fusing temporal and frequency features for motor imagery eeg decoding

HIGHLIGHTS

  • who: Jun Yang and collaborators from the School of Information Engineering and Automation, Kunming University of Science and Technology have published the paper: A Two-Branch CNN Fusing Temporal and Frequency Features for Motor Imagery EEG Decoding, in the Journal: Entropy 2022, 24, 376. of /2022/
  • what: With the development of technology and the rise of the meta-universe concept the braincomputer interface (BCI) has become a hotspot in the research field and the BCI based on motor (MI) has been widely concerned. In the experiment, the BCI competition IV 2b dataset is used to . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?