… A supervised learning algorithm for training deep spiking neural network is proposed in
this paper. It is an error backpropagation algorithm that uses surrogate gradient to solve the …

… Furthermore, the optical spiking neural networks are high speed, low energy consumption, …
with the electronic spiking neural networks. The origin of optical spiking neural networks are …

… which can show its high performance in image recognition tasks… backpropagation for spiking
neural networks with one spike per … for learning spatio-temporal spike patterns. International …

… Neural Network, ANN)可以实现更高的 精度,但其对计算成本的需求也大大增加[5].相对 而言,脉冲
神经网络(Spiking Neural Network… 反向传播(Spatio-Temporal BackPropagation, STBP)学习…

… Spiking neural network (SNN) has its potentials to simulate … backpropagation for spiking
neural networks with one spike … spatio-temporal backpropagation for training spiking neural …

… Finite meta-dynamic neurons in spiking neural networks for spatio-temporal learning. arXiv,
… Spatio-temporal backpropagation for training high-performance spiking neural networks. …

… due to their rich spatio-temporal dynamics, diverse coding … the recent advances of spiking
neural networks and focus on … 向传播算法STBP (spatio-temporal backpropagation, STBP), 首先…

… ideas and research directions for new colleagues in the field of spiking neural network. … 围绕
STDP 规则，一类利用ANN 中的反向传播（back propagation，BP） [13] 、卷积等思想进行直接或…

… Spatio-temporal backpropagation for training high-performance spiking neural networks [J]. …
From the perspective of brain-like computing, this paper designs spiking neural network …

… Abstract: Spiking neural networks(SNN)are drawing extensive attention in the disciplines
of computational simulation and artificial intelligence for their biological plausibility and …