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A pytorch implementation of spiking neural networks and backpropagation through spikes

PyTorch implementation of the paper "Spatio-Temporal Decoupled Learning for Spiking Neural Networks"

Neuromorphic computing is a new technology which uses very-large-scale integration (VLSI) systems containing electrical analogs that mimic neurobiological structures. Such technology can be simulated using the Python framework snnTorch, a derivative of the deep learning framework PyTorch that has... Read more

Official code for "Enriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language Models" (KDD'26)