Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials

12 Mar 2018Nicholas R. WaytowichVernon LawhernJavier O. GarciaJennifer CummingsJosef FallerPaul SajdaJean M. Vettel

Steady-State Visual Evoked Potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli. SSVEPs are robust signals measurable in the electroencephalogram (EEG) and are commonly used in brain-computer interfaces (BCIs)... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet