Search Results for author: Stephen M. Gordon

Found 3 papers, 2 papers with code

Decoding P300 Variability using Convolutional Neural Networks

1 code implementation Frontiers in Human Neuroscience 2019 Amelia J. Solon, Vernon J. Lawhern, Jonathan Touryan, Jonathan R. McDaniel, Anthony J. Ries, Stephen M. Gordon

Deep convolutional neural networks (CNN) have previously been shown to be useful tools for signal decoding and analysis in a variety of complex domains, such as image processing and speech recognition.

EEG Eeg Decoding +2

EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces

11 code implementations23 Nov 2016 Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, Stephen M. Gordon, Chou P. Hung, Brent J. Lance

We introduce the use of depthwise and separable convolutions to construct an EEG-specific model which encapsulates well-known EEG feature extraction concepts for BCI.

EEG speech-recognition

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