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

Published: 13/03/2018
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials
Source: ARXIV.ORG

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). However, methods for high-accuracy decoding of SSVEPs usually require hand-crafted approaches that

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