A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces
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...
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| Main Authors: | , , , |
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| Format: | Book |
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IEEE,
2023-01-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |