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What is Differentiable QIF Neurons in SNNs about?

This document introduces Quadratic Integrate-and-Fire (QIF) neurons as a differentiable alternative to Leaky Integrate-and-Fire (LIF) neurons in spiking neural networks (SNNs) for scientific machine learning tasks. The QIF model enables smooth and stable gradient-based training, improving performance in function approximation, operator learning, and solving partial differential equations compared to LIF networks. The findings suggest that QIF neurons could bridge the gap between spiking and continuous-value

Author

giovanni.dibenedettogdb

Language

EN