Gradient-based methods for spiking physical systems

08/29/2023

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by   Julian Göltz, et al.

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Recent efforts have fostered significant progress towards deep learning in spiking networks, both theoretical and in silico. Here, we discuss several different approaches, including a tentative comparison of the results on BrainScaleS-2, and hint towards future such comparative studies.