Exploring loss functions for time-based training strategy in spiking neural networks

Y Zhu, W Fang, X Xie, T Huang… - Advances in Neural …, 2024 - proceedings.neurips.cc
Abstract Spiking Neural Networks (SNNs) are considered promising brain-inspired energy-
efficient models due to their event-driven computing paradigm. The spatiotemporal spike …
被引用次数：7 相关文章

Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks

Y Zhu, W Fang, X Xie, T Huang, Z Yu - Thirty-seventh Conference on … - openreview.net
Spiking Neural Networks (SNNs) are considered promising brain-inspired energy-efficient
models due to their event-driven computing paradigm. The spatiotemporal spike patterns …

Exploring loss functions for time-based training strategy in spiking neural networks

Y Zhu, W Fang, T Huang, X Xie, Z Yu - Proceedings of the 37th …, 2023 - dl.acm.org
Spiking Neural Networks (SNNs) are considered promising brain-inspired energy-efficient
models due to their event-driven computing paradigm. The spatiotemporal spike patterns …