Elucidating the Theoretical Underpinnings of Surrogate Gradient Learning in Spiking Neural Networks
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Training spiking neural networks to approximate universal functions is essential for studying information processing in the brain and for neuromorphic computing. Yet the binary nature of spikes poses a challenge for direct gradient-based training. Surrogate gr... ...
