A timing-based backpropagation algorithm for multi-spike SNNs achieves ANN-comparable accuracy and identifies an optimal time constant for spike counts not seen in single-spike models.
Information in the first spike, the order of spikes, and the number of spikes provided by neurons in the inferior temporal visual cortex,
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Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions
A timing-based backpropagation algorithm for multi-spike SNNs achieves ANN-comparable accuracy and identifies an optimal time constant for spike counts not seen in single-spike models.