DTS-SNN: Spiking Neural Networks With Dynamic Time-Surfaces
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DOI: 10.1109/access.2022.3209671
Abstract: Convolution helps spiking neural networks (SNNs) capture the spatio-temporal structures of neuromorphic (event) data as evident in the convolution-based SNNs (C-SNNs) with the state-of-the-art classification-accuracies on various datasets. However, the efficacy aside, the efficiency of… read more here.
Keywords: dynamic time; neural networks; time; time surfaces ... See more keywords