182 related articles for article (PubMed ID: 32431592)
1. Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks.
Kugele A; Pfeil T; Pfeiffer M; Chicca E
Front Neurosci; 2020; 14():439. PubMed ID: 32431592
[TBL] [Abstract][Full Text] [Related]
2. STCA-SNN: self-attention-based temporal-channel joint attention for spiking neural networks.
Wu X; Song Y; Zhou Y; Jiang Y; Bai Y; Li X; Yang X
Front Neurosci; 2023; 17():1261543. PubMed ID: 38027490
[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. A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks.
Wang Y; Liu H; Zhang M; Luo X; Qu H
Neural Netw; 2024 Jun; 174():106244. PubMed ID: 38508047
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. High-accuracy deep ANN-to-SNN conversion using quantization-aware training framework and calcium-gated bipolar leaky integrate and fire neuron.
Gao H; He J; Wang H; Wang T; Zhong Z; Yu J; Wang Y; Tian M; Shi C
Front Neurosci; 2023; 17():1141701. PubMed ID: 36968504
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Quantization Framework for Fast Spiking Neural Networks.
Li C; Ma L; Furber S
Front Neurosci; 2022; 16():918793. PubMed ID: 35928011
[TBL] [Abstract][Full Text] [Related]
10. 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]
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. 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]
13. 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]
14. 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]
15. Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN.
Hu Y; Zheng Q; Jiang X; Pan G
IEEE Trans Pattern Anal Mach Intell; 2023 Dec; 45(12):14546-14562. PubMed ID: 37721891
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes.
Yu Q; Ma C; Song S; Zhang G; Dang J; Tan KC
IEEE Trans Neural Netw Learn Syst; 2022 Apr; 33(4):1714-1726. PubMed ID: 33471769
[TBL] [Abstract][Full Text] [Related]
19. LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing.
Wu Z; Zhang H; Lin Y; Li G; Wang M; Tang Y
IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6249-6262. PubMed ID: 33979292
[TBL] [Abstract][Full Text] [Related]
20. Training much deeper spiking neural networks with a small number of time-steps.
Meng Q; Yan S; Xiao M; Wang Y; Lin Z; Luo ZQ
Neural Netw; 2022 Sep; 153():254-268. PubMed ID: 35759953
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]