Convolutional Neural Network-Based Classification of Steady-State Visually Evoked Potentials with Limited Training Data

Convolutional Neural Network-Based Classification of Steady-State Visually Evoked Potentials with Limited Training Data

One approach employed in brain–computer interfaces (BCIs) involves the use of steady-state visual evoked potentials (SSVEPs). This article examines the capability of artificial intelligence, specifically convolutional neural networks (CNNs), to improve SSVEP detection in BCIs. Implementing CNNs for...

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Bibliographic Details
Main Authors: Marcin Kołodziej, Andrzej Majkowski, Remigiusz J. Rak, Przemysław Wiszniewski
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Applied Sciences
Subjects:
BCI
SSVEP
CNN
EEG
data augmentation
transfer-learning
Online Access:https://www.mdpi.com/2076-3417/13/24/13350

Internet

https://www.mdpi.com/2076-3417/13/24/13350

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