Spike-representation of eeg signals for performance enhancement of brain-computer interfaces

HIGHLIGHTS

  • who: Chin-Teng Lin from the Computational Intelligence and Brain Computer Interface Lab, School of Computer Science, University of Technology Australia have published the article: Spike-Representation of EEG Signals for Performance Enhancement of Brain-Computer Interfaces, in the Journal: (JOURNAL)
  • what: A major difference in this study is that, instead of using a trained model to create artificial samples, the model is used to extract spike-representation of EEG sample and this spikerepresentation is evaluated against baseline EEG classification performance. This study had adopted these classifiers for assessing the baseline EEG classification accuracy. 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 ?