Empirical comparison of deep learning methods for eeg decoding

HIGHLIGHTS

  • who: Iago Henrique de Oliveira from the Chongqing University of Posts and Telecommunications, China have published the research: Empirical comparison of deep learning methods for EEG decoding, in the Journal: (JOURNAL)
  • what: In this work, two neural decoders were implemented. BCI competition IV This paper used data set 2a from the BCI Competition IV (Brunner et_al, 2008), which were registered and made publicly available by Graz University of Technology, located in Austria. Decoder For the implementation of the model , the two main blocks of the EEGNet model were used, as specified by Lawhern et_al . The . . .

     

    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 ?