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Found 2 papers, 1 papers with code
Hessian Aware Quantization of Spiking Neural Networks
To address this challenge, we present a simplified neuron model that reduces the number of state variables by 4-fold while still being compatible with gradient based training.
A general learning system based on neuron bursting and tonic firing
With the update of synaptic weights, new neurons become bursting while previous bursting neurons become tonic, allowing bursting neurons to move up to a higher level of perceptual abstraction.
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