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New Preprint: Training Spiking Neural Networks Using Lessons From Deep Learning





How can we train biologically plausible Spiking Neural Networks with the Deep Learning hammer? Our perspective/tutorial/review aims to tackle this question. We explore how the neural code affects learning via gradient descent, the interplay between the STDP learning rule and the backpropagation-through-time algorithm, and step through using online learning with SNNs.


This preprint goes hand-in-hand with our recently updated snnTorch interactive tutorial series that goes from designing simple spiking neurons to training large-scale networks.


Pre-print: https://arxiv.org/abs/2109.12894


Tutorials: https://snntorch.readthedocs.io/en/latest/tutorials/index.html


snnTorch GitHub: https://github.com/jeshraghian/snntorch


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