Eliminating or shortening the calibration for a P300 brain–computer interface based on a convolutional neural network and big electroencephalography data: An …

W Gao, W Huang, M Li, Z Gu, J Pan… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
A brain-computer interface (BCI) measures and analyzes brain activity and converts it into
computer commands to control external devices. Traditional BCIs usually require full …

[HTML][HTML] Best performance with fewest resources: unveiling the most resource-efficient convolutional neural network for P300 detection with the aid of Explainable AI

M Liu, W Shi, L Zhao, FR Beyette Jr - Machine Learning with Applications, 2024 - Elsevier
Abstract Convolutional Neural Networks (CNNs) have shown remarkable prowess in
detecting P300, an Event-Related Potential (ERP) crucial in Brain–Computer Interfaces …

Transfer Learning for P300 Brain-Computer Interfaces by Joint Alignment of Feature Vectors

F Altindis, A Banerjee, R Phlypo… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
This article presents a new transfer learning method named group learning, that jointly
aligns multiple domains (many-to-many) and an extension named fast alignment that aligns …

Enhancing ASD Cognitive Assessment with P300 Classification using EMD-based qEEG Wavelet Features

M Das, M Mahadevappa - 2023 7th International Conference …, 2023 - ieeexplore.ieee.org
Individuals with Autism Spectrum Disorder (ASD) often face challenges in effective
communication due to deficiencies in their joint attention skills. Brain-Computer Interface …

Adaptation to a brain-computer interface of transfer learning using event-related potentials obtained under different measurement conditions

H Sato, A Yoshida, B Ishikawa… - 2022 Joint 12th …, 2022 - ieeexplore.ieee.org
Event-related potentials (ERPs) are widely used in electroencephalogram (EEG)-based
brain-computer interfaces (BCIs). Because ERPs vary with age, individual differences, and …