Extended Data Fig. 4: Study of different forms of gradients on ECG-LIF.
From: Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
(a,b) shows the result of the using various Multi-Gaussian negative gradient ablations on the ECG-LIF task where the σ of the central (positive) Gaussian as defined in Eq (1) is varied. The effect of varying σ is shown for test accuracy (a) and sparsity (b). We find that also then, the standard Multi-Gaussian outperforms variations in terms of accuracy and sparsity.
