Apr 20, 2022 · Plastic delays are integrated into the learning framework, and as a result, the performance of multispike learning is significantly improved.

Mar 25, 2022 · Plastic delays are integrated into the learning framework, and as a result, the performance of multispike learning is significantly improved.

Plastic delays are integrated into the learning framework, and as a result, the performance of multispike learning is significantly improved. Simulation results ...

Jan 24, 2024 · In this paper, we proposed a new supervised learning algorithm for multiple-layer spiking neural networks based on the typical SpikeProp method.

Jan 24, 2024 · In this paper, we proposed a new supervised learning algorithm for multiple-layer spiking neural networks based on the typical SpikeProp method.

Apr 20, 2022 · 塑性延迟被集成到学习框架中，从而显着提高了多尖峰学习的性能。模拟结果凸显了我们的TDP-DL 规则与基准规则相比的有效性和效率。此外，我们揭示了突触权重 ...

Journal Papers. "Improving Multispike Learning With Plastic Synaptic Delays", Qiang Yu(*), Jialu Gao, Jianguo Wei, Jing Li, Kay Chen Tan and Tiejun Huang ...

Oct 7, 2020 · This paper investigates the viability of integrating synaptic delay plasticity into supervised learning and proposes a novel learning method ...

Dec 1, 2023 · More formally, it has been shown theoretically that plastic delays greatly increase the expressivity in SNNs. ... Supervised learning in spiking ...

Mar 26, 2021 · The introduction of delay adjusting improves the learning efficiency and performance of the algorithm, which is helpful for photonic ...