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Found 2 papers, 2 papers with code
First-spike coding promotes accurate and efficient spiking neural networks for discrete events with rich temporal structures
In the backpropagation, we develop an error assignment method that propagates error from FS times to spikes through a Gaussian window, and then supervised learning for spikes is implemented through a surrogate gradient approach.
Learning-Based Reconstruction of FRI Signals
While the deep unfolded network achieves similar performance as the classical FRI techniques and outperforms the encoder-decoder network in the low noise regimes, the latter allows to reconstruct the FRI signal even when the sampling kernel is unknown.
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