A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces

• Hoofdauteurs: Peiliang Gong (Auteur), Pengpai Wang (Auteur), Yueying Zhou (Auteur), Daoqiang Zhang (Auteur)
• Formaat: Boek
• Gepubliceerd in: IEEE, 2023-01-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

Electroencephalography (EEG) signals classification is essential for the brain-computer interface (BCI). Recently, energy-efficient spiking neural networks (SNNs) have shown great potential in EEG analysis due to their ability to capture the complex dynamic properties of biological neurons while als...