A multiple-output spiking neuron with a decoupled, learnable reset mechanism achieves near-benchmark accuracy on three temporal tasks and partially stabilizes training with unstable state-transition matrices.
Advancing neuromorphic computing with Loihi: A survey of results and outlook,
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Low-Bit Data Processing Using Multiple-Output Spiking Neurons with Non-linear Reset Feedback
A multiple-output spiking neuron with a decoupled, learnable reset mechanism achieves near-benchmark accuracy on three temporal tasks and partially stabilizes training with unstable state-transition matrices.