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.
Energy-efficient and intelligent ISAC in V2X networks with spiking neural networks-driven DRL,
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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.