Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features

Published: Nov 1, 2021
Abstract
The success of deep learning in computer vision has inspired the scientific community to explore new analysis methods. Within the field of neuroscience, specifically in electrophysiological neuroimaging, researchers are starting to explore leveraging deep learning to make predictions on EEG data. Research remains open on the network architecture and the feature space that is most effective for EEG decoding. This paper compares deep learning...
Paper Details
Title
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features
Published Date
Nov 1, 2021
Journal
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