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Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
Our method provides robust deployment of pre-trained networks on mixed-signal neuromorphic hardware, without requiring per-device training or calibration.
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation
Our architecture is the first spiking neural network architecture with on-chip learning capabilities, which is able to perform relational inference on complex visual stimuli.
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