Gradient-based methods for spiking physical systems
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 29 Aug 2023.
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