Best performance with fewest resources: Unveiling the most resource-efficient Convolutional Neural Network for P300 detection with the aid of Explainable AI

Best performance with fewest resources: Unveiling the most resource-efficient Convolutional Neural Network for P300 detection with the aid of Explainable AI

Convolutional Neural Networks (CNNs) have shown remarkable prowess in detecting P300, an Event-Related Potential (ERP) crucial in Brain–Computer Interfaces (BCIs). Researchers persistently seek simple and efficient CNNs for P300 detection, exemplified by models like DeepConvNet, EEGNet, and SepConv1...

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Bibliographic Details
Main Authors: Maohua Liu, Wenchong Shi, Liqiang Zhao, Fred R. Beyette, Jr.
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Machine Learning with Applications
Subjects:
CNN
P300
Explainable AI
Single-trial
Cross-subject
Within-subject
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827024000185

Internet

http://www.sciencedirect.com/science/article/pii/S2666827024000185

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