Mar 8, 2024 · Our research aims to develop a DL algorithm that delivers effective results with a limited number of electrodes.

Oct 18, 2024 · Taking advantage of the Augmented Covariance Method and the framework of SPDNet, we propose the \method{} architecture and analyze its ...

Oct 22, 2024 · Our research aims to develop a DL algorithm that delivers effective results with a limited number of electrodes.

Aug 29, 2024 · Geometric Neural Network based on Phase Space for BCI-EEG decoding. Objective: The integration of Deep Learning (DL) algorithms on brain ...

Aug 28, 2024 · This paper presents a novel Geometric Neural Network based on Phase Space (GNN-PS) for decoding brain-computer interface (BCI) signals.

Geometric Neural Network based on Phase Space for BCI-EEG decoding. Overview of attention for article published in arXiv, March 2024. Altmetric Badge. About ...

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Geometric neural network based on phase space for BCI-EEG decoding. I Carrara, B Aristimunha, MC Corsi, RY de Camargo, S Chevallier, ... Journal of Neural ...

Mar 16, 2024 · Geometric Neural Network based on Phase Space for BCI decoding. Print this page; Export this page in PDF format (around 1.5MB); Send to a ...

Deep learning with convolutional neural networks for EEG decoding and visualization ... Geometric Neural Network based on Phase Space for BCI-EEG decoding.