A refractory period that adapts using the neuron's membrane potential derivative and its own history improves low-latency spiking network accuracy, cuts redundant spikes, and boosts noise robustness.
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Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods
A refractory period that adapts using the neuron's membrane potential derivative and its own history improves low-latency spiking network accuracy, cuts redundant spikes, and boosts noise robustness.