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Found 2 papers, 1 papers with code
Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
Here we demonstrate a novel methodology for ofDine training and deployment of spiking neural networks (SNNs) to the mixed-signal neuromorphic processor DYNAP-SE2.
Neuromorphic implementation of ECG anomaly detection using delay chains
Real-time analysis and classification of bio-signals measured using wearable devices is computationally costly and requires dedicated low-power hardware.
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