437 related articles for article (PubMed ID: 29375284)
1. Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification.
Rueckauer B; Lungu IA; Hu Y; Pfeiffer M; Liu SC
Front Neurosci; 2017; 11():682. PubMed ID: 29375284
[No Abstract] [Full Text] [Related]
2. Effective Plug-Ins for Reducing Inference-Latency of Spiking Convolutional Neural Networks During Inference Phase.
Chen X; Yuan X; Fu G; Luo Y; Yue T; Yan F; Wang Y; Pan H
Front Comput Neurosci; 2021; 15():697469. PubMed ID: 34733147
[TBL] [Abstract][Full Text] [Related]
3. A Scatter-and-Gather Spiking Convolutional Neural Network on a Reconfigurable Neuromorphic Hardware.
Zou C; Cui X; Kuang Y; Liu K; Wang Y; Wang X; Huang R
Front Neurosci; 2021; 15():694170. PubMed ID: 34867142
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Going Deeper in Spiking Neural Networks: VGG and Residual Architectures.
Sengupta A; Ye Y; Wang R; Liu C; Roy K
Front Neurosci; 2019; 13():95. PubMed ID: 30899212
[TBL] [Abstract][Full Text] [Related]
7. Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications.
Sorbaro M; Liu Q; Bortone M; Sheik S
Front Neurosci; 2020; 14():662. PubMed ID: 32694978
[TBL] [Abstract][Full Text] [Related]
8. A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network From Convolutional Neural Network.
Wu D; Yi X; Huang X
Front Neurosci; 2022; 16():759900. PubMed ID: 35692427
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Spiking Deep Residual Networks.
Hu Y; Tang H; Pan G
IEEE Trans Neural Netw Learn Syst; 2023 Aug; 34(8):5200-5205. PubMed ID: 34723807
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. An exact mapping from ReLU networks to spiking neural networks.
Stanojevic A; Woźniak S; Bellec G; Cherubini G; Pantazi A; Gerstner W
Neural Netw; 2023 Nov; 168():74-88. PubMed ID: 37742533
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment.
Xu Q; Peng J; Shen J; Tang H; Pan G
Neural Netw; 2020 Jan; 121():512-519. PubMed ID: 31733521
[TBL] [Abstract][Full Text] [Related]
18. SPIDEN: deep Spiking Neural Networks for efficient image denoising.
Castagnetti A; Pegatoquet A; Miramond B
Front Neurosci; 2023; 17():1224457. PubMed ID: 37638316
[TBL] [Abstract][Full Text] [Related]
19. Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From Scratch.
Kim Y; Panda P
Front Neurosci; 2021; 15():773954. PubMed ID: 34955725
[TBL] [Abstract][Full Text] [Related]
20. Gradient-based feature-attribution explainability methods for spiking neural networks.
Bitar A; Rosales R; Paulitsch M
Front Neurosci; 2023; 17():1153999. PubMed ID: 37829721
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]