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.
239 related articles for article (PubMed ID: 37077894)
1. Models developed for spiking neural networks. Rezghi Shirsavar S; Vahabie AH; A Dehaqani MR MethodsX; 2023; 10():102157. PubMed ID: 37077894 [TBL] [Abstract][Full Text] [Related]
2. An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. Dong Y; Zhao D; Li Y; Zeng Y Neural Netw; 2023 Aug; 165():799-808. PubMed ID: 37418862 [TBL] [Abstract][Full Text] [Related]
3. 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]
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. 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]
6. 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]
7. Spiking neural networks fine-tuning for brain image segmentation. Yue Y; Baltes M; Abuhajar N; Sun T; Karanth A; Smith CD; Bihl T; Liu J Front Neurosci; 2023; 17():1267639. PubMed ID: 38027484 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Linear leaky-integrate-and-fire neuron model based spiking neural networks and its mapping relationship to deep neural networks. Lu S; Xu F Front Neurosci; 2022; 16():857513. PubMed ID: 36090262 [TBL] [Abstract][Full Text] [Related]
17. Toward robust and scalable deep spiking reinforcement learning. Akl M; Ergene D; Walter F; Knoll A Front Neurorobot; 2022; 16():1075647. PubMed ID: 36742191 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Heterogeneous recurrent spiking neural network for spatio-temporal classification. Chakraborty B; Mukhopadhyay S Front Neurosci; 2023; 17():994517. PubMed ID: 36793542 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]