A Lightweight Multi-Scale Convolutional Neural Network for P300 Decoding: Analysis of Training Strategies and Uncovering of Network Decision

A Lightweight Multi-Scale Convolutional Neural Network for P300 Decoding: Analysis of Training Strategies and Uncovering of Network Decision

Convolutional neural networks (CNNs), which automatically learn features from raw data to approximate functions, are being increasingly applied to the end-to-end analysis of electroencephalographic (EEG) signals, especially for decoding brain states in brain-computer interfaces (BCIs). Nevertheless,...

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Bibliographic Details
Main Authors: Davide Borra, Silvia Fantozzi, Elisa Magosso
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Human Neuroscience
Subjects:
electroencephalography
P300
convolutional neural networks
transfer learning
decision explanation
brain-computer interfaces
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.655840/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2021.655840/full

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