These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
165 related articles for article (PubMed ID: 34411267)
1. Skip-Connected Self-Recurrent Spiking Neural Networks With Joint Intrinsic Parameter and Synaptic Weight Training. Zhang W; Li P Neural Comput; 2021 Jun; 33(7):1886-1913. PubMed ID: 34411267 [TBL] [Abstract][Full Text] [Related]
2. Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences. He W; Wu Y; Deng L; Li G; Wang H; Tian Y; Ding W; Wang W; Xie Y Neural Netw; 2020 Dec; 132():108-120. PubMed ID: 32866745 [TBL] [Abstract][Full Text] [Related]
3. SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training. Liu F; Zhao W; Chen Y; Wang Z; Yang T; Jiang L Front Neurosci; 2021; 15():756876. PubMed ID: 34803591 [TBL] [Abstract][Full Text] [Related]
4. Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing. Kim Y; Panda P Neural Netw; 2021 Dec; 144():686-698. PubMed ID: 34662827 [TBL] [Abstract][Full Text] [Related]
5. Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. Lian S; Liu Q; Yan R; Pan G; Tang H Neural Comput; 2022 Apr; 34(5):1170-1188. PubMed ID: 35231931 [TBL] [Abstract][Full Text] [Related]
6. Analyzing and Accelerating the Bottlenecks of Training Deep SNNs With Backpropagation. Chen R; Li L Neural Comput; 2020 Dec; 32(12):2557-2600. PubMed ID: 32946710 [TBL] [Abstract][Full Text] [Related]
7. A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule. Hao Y; Huang X; Dong M; Xu B Neural Netw; 2020 Jan; 121():387-395. PubMed ID: 31593843 [TBL] [Abstract][Full Text] [Related]
10. BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. Zhao D; Zeng Y; Li Y Neural Netw; 2022 Oct; 154():68-77. PubMed ID: 35863201 [TBL] [Abstract][Full Text] [Related]
11. Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks. Zhang M; Wang J; Wu J; Belatreche A; Amornpaisannon B; Zhang Z; Miriyala VPK; Qu H; Chua Y; Carlson TE; Li H IEEE Trans Neural Netw Learn Syst; 2022 May; 33(5):1947-1958. PubMed ID: 34534091 [TBL] [Abstract][Full Text] [Related]
12. Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks. Wu Y; Deng L; Li G; Zhu J; Shi L Front Neurosci; 2018; 12():331. PubMed ID: 29875621 [TBL] [Abstract][Full Text] [Related]
14. STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks. Yu C; Gu Z; Li D; Wang G; Wang A; Li E Front Neurosci; 2022; 16():1079357. PubMed ID: 36620452 [TBL] [Abstract][Full Text] [Related]
15. Spike-Train Level Direct Feedback Alignment: Sidestepping Backpropagation for On-Chip Training of Spiking Neural Nets. Lee J; Zhang R; Zhang W; Liu Y; Li P Front Neurosci; 2020; 14():143. PubMed ID: 32231513 [TBL] [Abstract][Full Text] [Related]
16. Deep Learning With Spiking Neurons: Opportunities and Challenges. Pfeiffer M; Pfeil T Front Neurosci; 2018; 12():774. PubMed ID: 30410432 [TBL] [Abstract][Full Text] [Related]
17. Rethinking the performance comparison between SNNS and ANNS. Deng L; Wu Y; Hu X; Liang L; Ding Y; Li G; Zhao G; Li P; Xie Y Neural Netw; 2020 Jan; 121():294-307. PubMed ID: 31586857 [TBL] [Abstract][Full Text] [Related]
18. Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning. Lee C; Panda P; Srinivasan G; Roy K Front Neurosci; 2018; 12():435. PubMed ID: 30123103 [TBL] [Abstract][Full Text] [Related]
19. Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks. Zhang T; Cheng X; Jia S; Poo MM; Zeng Y; Xu B Sci Adv; 2021 Oct; 7(43):eabh0146. PubMed ID: 34669481 [TBL] [Abstract][Full Text] [Related]