LONG SHORT-TERM MEMORY USING A SPIKING NEURAL NETWORK

• 1. 在尖峰神经网络中使用尖峰波进行基于上下文的搜索 [P] . 中国专利： CN111164615A . 2020-05-15
• 2. 具有短期记忆和长期记忆的模拟神经网络 [P] . 中国专利： CN107045649B . 2020.06.02
• 3. LONG SHORT-TERM MEMORY USING A SPIKING NEURAL NETWORK [P] . 美国专利： US2016034812A1 . 2016-02-04

  机译： 使用尖峰神经网络的长期记忆

• 4. IN-MEMORY SPIKING NEURAL NETWORKS FOR MEMORY ARRAY ARCHITECTURES [P] . 美国专利： US2019005376A1 . 2019-01-03

  机译： 内存阵列架构的内存中搜寻神经网络

• 5. QUANTIZING TRAINED LONG SHORT-TERM MEMORY NEURAL NETWORKS [P] . US2022036155A1 . 2022-02-03

  机译： 量化训练有素的长短期记忆神经网络

• 1. A forecasting model for wave heights based on a long short-term memory neural network [J] . Song Gao, Juan Huang, Yaru Li, 海洋学报（英文版） . 2021,第001期
• 2. DSNNs:learning transfer from deep neural networks to spiking neural networks [J] . Zhang Lei, Du Zidong, Li Ling, 高技术通讯（英文版） . 2020,第002期
• 3. Dynamic Hand Gesture Recognition Based on Short-Term Sampling Neural Networks [J] . Wenjin Zhang, Jiacun Wang, Fangping Lan 自动化学报（英文版） . 2021,第001期
• 4. Random Sketching, Clustering, and Short-Term Memory in Spiking Neural Networks [J] . Yael Hitron, Nancy Lynch, Cameron Musco, LIPIcs : Leibniz International Proceedings in Informatics . 2020,第30期
• 5. A Long Short-Term Memory neural network for the detection of epileptiform spikes and high frequency oscillations [J] . A. V. Medvedev, G. I. Agoureeva, A. M. Murro Scientific reports. . 2019,第1期
• 6. Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX) [J] . Wunsch Andreas, Liesch Tanja, Broda Stefan Hydrology and Earth System Sciences Discussions . 2021,第3期
• 7. Self-organized Short-Term Memory Mechanism in Spiking Neural Network [C] . Mikhail Kiselev International conference on adaptive and natural computing algorithms;ICANNGA 2011 . 2011
• 8. The Role of Short-Term Synaptic Plasticity in Neural Network Spiking Dynamics and in the Learning of Multiple Distal Rewards. [D] . O'Brien, Michael John. 2013
• 9. Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes [O] . Alex Metaxas, Reinoud Maex, Rod Adams, 1936
• 10. Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX) [O] . Andreas Wunsch, Tanja Liesch, Stefan Broda 2021

• 1. Long Short-Term Memory Recurrent Neural Network-Based Acoustic Model Using Connectionist Temporal Classification on a Large-Scale Training Corpus [J] . Donghyun Lee ,Minkyu Lim ,Hosung Park . 中国通信 . 2017,第009期
• 2. Biological Neural Network Structure and Spike Activity Prediction Based on Multi-Neuron Spike Train Data [J] . Tielin Zhang ,Yi Zeng ,Bo Xu . 智能科学国际期刊（英文） . 2015,第2期
• 3. 基于长短记忆神经网络的地震前兆异常识别与记忆研究 [C] . 卞龙 ,张健 ,程良伦 . 中国地球物理学会信息技术专业委员会2018地球物理信息前沿技术研讨会 . 2018
• 4. 基于长短期记忆循环神经网络及其结构约减变体的中长期径流预报研究 [A] . 顾逸 . 2018