257 related articles for article (PubMed ID: 33513328)
1. The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks.
Zenke F; Vogels TP
Neural Comput; 2021 Mar; 33(4):899-925. PubMed ID: 33513328
[TBL] [Abstract][Full Text] [Related]
2. Surrogate gradients for analog neuromorphic computing.
Cramer B; Billaudelle S; Kanya S; Leibfried A; Grübl A; Karasenko V; Pehle C; Schreiber K; Stradmann Y; Weis J; Schemmel J; Zenke F
Proc Natl Acad Sci U S A; 2022 Jan; 119(4):. PubMed ID: 35042792
[TBL] [Abstract][Full Text] [Related]
3. Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform.
Patiño-Saucedo A; Rostro-Gonzalez H; Serrano-Gotarredona T; Linares-Barranco B
Neural Netw; 2020 Jan; 121():319-328. PubMed ID: 31590013
[TBL] [Abstract][Full Text] [Related]
4. S
Suetake K; Ikegawa SI; Saiin R; Sawada Y
Neural Netw; 2023 Feb; 159():208-219. PubMed ID: 36657226
[TBL] [Abstract][Full Text] [Related]
5. Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks.
Winston CN; Mastrovito D; Shea-Brown E; Mihalas S
Neural Comput; 2023 Mar; 35(4):555-592. PubMed ID: 36827598
[TBL] [Abstract][Full Text] [Related]
6. Supervised learning in spiking neural networks: A review of algorithms and evaluations.
Wang X; Lin X; Dang X
Neural Netw; 2020 May; 125():258-280. PubMed ID: 32146356
[TBL] [Abstract][Full Text] [Related]
7. Supervised Learning Algorithm for Multilayer Spiking Neural Networks with Long-Term Memory Spike Response Model.
Lin X; Zhang M; Wang X
Comput Intell Neurosci; 2021; 2021():8592824. PubMed ID: 34868299
[TBL] [Abstract][Full Text] [Related]
8. Exploiting noise as a resource for computation and learning in spiking neural networks.
Ma G; Yan R; Tang H
Patterns (N Y); 2023 Oct; 4(10):100831. PubMed ID: 37876899
[TBL] [Abstract][Full Text] [Related]
9. Overview of Spiking Neural Network Learning Approaches and Their Computational Complexities.
Pietrzak P; Szczęsny S; Huderek D; Przyborowski Ł
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991750
[TBL] [Abstract][Full Text] [Related]
10. Self-adaptive STDP-based learning of a spiking neuron with nanocomposite memristive weights.
Emelyanov AV; Nikiruy KE; Serenko AV; Sitnikov AV; Presnyakov MY; Rybka RB; Sboev AG; Rylkov VV; Kashkarov PK; Kovalchuk MV; Demin VA
Nanotechnology; 2020 Jan; 31(4):045201. PubMed ID: 31578002
[TBL] [Abstract][Full Text] [Related]
11. Temporal Coding in Spiking Neural Networks With Alpha Synaptic Function: Learning With Backpropagation.
Comsa IM; Potempa K; Versari L; Fischbacher T; Gesmundo A; Alakuijala J
IEEE Trans Neural Netw Learn Syst; 2022 Oct; 33(10):5939-5952. PubMed ID: 33900924
[TBL] [Abstract][Full Text] [Related]
12. Memristors for Neuromorphic Circuits and Artificial Intelligence Applications.
Miranda E; Suñé J
Materials (Basel); 2020 Feb; 13(4):. PubMed ID: 32093164
[TBL] [Abstract][Full Text] [Related]
13. Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks.
Walter F; Röhrbein F; Knoll A
Neural Netw; 2015 Dec; 72():152-67. PubMed ID: 26422422
[TBL] [Abstract][Full Text] [Related]
14. Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics.
Zheng H; Zheng Z; Hu R; Xiao B; Wu Y; Yu F; Liu X; Li G; Deng L
Nat Commun; 2024 Jan; 15(1):277. PubMed ID: 38177124
[TBL] [Abstract][Full Text] [Related]
15. Fast learning without synaptic plasticity in spiking neural networks.
Subramoney A; Bellec G; Scherr F; Legenstein R; Maass W
Sci Rep; 2024 Apr; 14(1):8557. PubMed ID: 38609429
[TBL] [Abstract][Full Text] [Related]
16. Learning heterogeneous delays in a layer of spiking neurons for fast motion detection.
Grimaldi A; Perrinet LU
Biol Cybern; 2023 Oct; 117(4-5):373-387. PubMed ID: 37695359
[TBL] [Abstract][Full Text] [Related]
17. Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence.
Abderrahmane N; Lemaire E; Miramond B
Neural Netw; 2020 Jan; 121():366-386. PubMed ID: 31593842
[TBL] [Abstract][Full Text] [Related]
18. Surrogate gradient learning in spiking networks trained on event-based cytometry dataset.
Gouda M; Abreu S; Bienstman P
Opt Express; 2024 Apr; 32(9):16260-16272. PubMed ID: 38859258
[TBL] [Abstract][Full Text] [Related]
19. Brain-inspired neural circuit evolution for spiking neural networks.
Shen G; Zhao D; Dong Y; Zeng Y
Proc Natl Acad Sci U S A; 2023 Sep; 120(39):e2218173120. PubMed ID: 37729206
[TBL] [Abstract][Full Text] [Related]
20. Event-based backpropagation can compute exact gradients for spiking neural networks.
Wunderlich TC; Pehle C
Sci Rep; 2021 Jun; 11(1):12829. PubMed ID: 34145314
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
