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Axonal Delay As a Short-Term Memory for Feed Forward Deep Spiking Neural Networks. (arXiv:2205.02115v1 [cs.NE])
May 5, 2022, 1:12 a.m. | Pengfei Sun, Longwei Zhu, Dick Botteldooren
cs.LG updates on arXiv.org arxiv.org
The information of spiking neural networks (SNNs) are propagated between the
adjacent biological neuron by spikes, which provides a computing paradigm with
the promise of simulating the human brain. Recent studies have found that the
time delay of neurons plays an important role in the learning process.
Therefore, configuring the precise timing of the spike is a promising direction
for understanding and improving the transmission process of temporal
information in SNNs. However, most of the existing learning methods for spiking …
arxiv memory networks neural networks spiking neural networks
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