Gradient-based methods for spiking physical systems
arXiv:2309.10823
Abstract
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.
2 page abstract, submitted to and accepted by the NNPC (International conference on neuromorphic, natural and physical computing)