A network using decay-triggered Self-Dropping neurons and Bayesian per-layer time-step search reports Fashion-MNIST 93.72%, CIFAR-10 92.20%, and CIFAR-100 69.45% accuracy with 21-56% energy savings versus multi-timestep LIF.
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SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization
A network using decay-triggered Self-Dropping neurons and Bayesian per-layer time-step search reports Fashion-MNIST 93.72%, CIFAR-10 92.20%, and CIFAR-100 69.45% accuracy with 21-56% energy savings versus multi-timestep LIF.