A bio-inspired framework for Human Digital Twins combines BCI for brain-signal data collection, SNN neuromorphic computing for efficiency, and FL for privacy to reduce device heterogeneity, energy use, and privacy risks.
Progressive tandem learning for pattern recognition with deep spiking neural networks
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Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins
A bio-inspired framework for Human Digital Twins combines BCI for brain-signal data collection, SNN neuromorphic computing for efficiency, and FL for privacy to reduce device heterogeneity, energy use, and privacy risks.