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In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor
Although widely used in machine learning, backpropagation cannot directly be applied to SNN training and is not feasible on a neuromorphic processor that emulates biological neuron and synapses.
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning
This circuit implementation of the neuron model is simulated to demonstrate its ability to react to temporal spiking patterns with an adaptive threshold.
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