770 related articles for article (PubMed ID: 34803591)
1. 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]
2. Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures.
Lee C; Sarwar SS; Panda P; Srinivasan G; Roy K
Front Neurosci; 2020; 14():119. PubMed ID: 32180697
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Deep learning in spiking neural networks.
Tavanaei A; Ghodrati M; Kheradpisheh SR; Masquelier T; Maida A
Neural Netw; 2019 Mar; 111():47-63. PubMed ID: 30682710
[TBL] [Abstract][Full Text] [Related]
6. A TTFS-based energy and utilization efficient neuromorphic CNN accelerator.
Yu M; Xiang T; P S; Chu KTN; Amornpaisannon B; Tavva Y; Miriyala VPK; Carlson TE
Front Neurosci; 2023; 17():1121592. PubMed ID: 37214405
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey.
Dampfhoffer M; Mesquida T; Valentian A; Anghel L
IEEE Trans Neural Netw Learn Syst; 2023 Apr; PP():. PubMed ID: 37027264
[TBL] [Abstract][Full Text] [Related]
10. Training Deep Spiking Neural Networks Using Backpropagation.
Lee JH; Delbruck T; Pfeiffer M
Front Neurosci; 2016; 10():508. PubMed ID: 27877107
[TBL] [Abstract][Full Text] [Related]
11. Is Neuromorphic MNIST Neuromorphic? Analyzing the Discriminative Power of Neuromorphic Datasets in the Time Domain.
Iyer LR; Chua Y; Li H
Front Neurosci; 2021; 15():608567. PubMed ID: 33841072
[TBL] [Abstract][Full Text] [Related]
12. Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation.
Zhang T; Jia S; Cheng X; Xu B
IEEE Trans Neural Netw Learn Syst; 2022 Dec; 33(12):7621-7631. PubMed ID: 34125691
[TBL] [Abstract][Full Text] [Related]
13. Exploring Optimized Spiking Neural Network Architectures for Classification Tasks on Embedded Platforms.
Syed T; Kakani V; Cui X; Kim H
Sensors (Basel); 2021 May; 21(9):. PubMed ID: 34067080
[TBL] [Abstract][Full Text] [Related]
14. Low-Latency Spiking Neural Networks Using Pre-Charged Membrane Potential and Delayed Evaluation.
Hwang S; Chang J; Oh MH; Min KK; Jang T; Park K; Yu J; Lee JH; Park BG
Front Neurosci; 2021; 15():629000. PubMed ID: 33679308
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. On-Chip Training Spiking Neural Networks Using Approximated Backpropagation With Analog Synaptic Devices.
Kwon D; Lim S; Bae JH; Lee ST; Kim H; Seo YT; Oh S; Kim J; Yeom K; Park BG; Lee JH
Front Neurosci; 2020; 14():423. PubMed ID: 32733180
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks.
Wu J; Chua Y; Zhang M; Li G; Li H; Tan KC
IEEE Trans Neural Netw Learn Syst; 2023 Jan; 34(1):446-460. PubMed ID: 34288879
[TBL] [Abstract][Full Text] [Related]
19. An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data.
Stromatias E; Soto M; Serrano-Gotarredona T; Linares-Barranco B
Front Neurosci; 2017; 11():350. PubMed ID: 28701911
[TBL] [Abstract][Full Text] [Related]
20. HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks.
Shen J; Zhao Y; Liu JK; Wang Y
IEEE Trans Neural Netw Learn Syst; 2023 Sep; 34(9):5841-5855. PubMed ID: 34890341
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
