2020/10/07 · This paper investigates the viability of integrating synaptic delay plasticity into supervised learning and proposes a novel learning method ...
We propose a modified supervised learning algorithm for optical spiking neural networks, which introduces synaptic time-delay plasticity on the basis of ...
This paper investigates the viability of integrating synaptic delay plasticity into supervised learning and proposes a novel learning method that adjusts both ...
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The goal of this paper is to give an overview of the existing synaptic delay-based learning algorithms in spiking neural networks. We described the typical ...
2019/12/11 · Spiking neurons encode information through their spiking temporal patterns. Although the precise spike-timing based encoding scheme has long ...
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2020/10/01 · The goal of this paper is to give an overview of the existing synaptic delay-based learning algorithms in spiking neural networks.
The goal of this paper is to give an overview of the existing synaptic delay-based learning algorithms in spiking neural networks. We describe the typical ...
2021/07/31 · This paper investigates the viability of integrating synaptic delay plasticity into supervised learning and proposes a novel learning method ...
2022. TLDR. A learning algorithm with synaptic delay-weight plasticity for recurrent spiking neural network, which may enable real-time communication of ...
2024/01/24 · In this paper, we proposed a new supervised learning algorithm for multiple-layer spiking neural networks based on the typical SpikeProp method.