504 related articles for article (PubMed ID: 32948691)
1. Learning probabilistic neural representations with randomly connected circuits.
Maoz O; Tkačik G; Esteki MS; Kiani R; Schneidman E
Proc Natl Acad Sci U S A; 2020 Oct; 117(40):25066-25073. PubMed ID: 32948691
[TBL] [Abstract][Full Text] [Related]
2. Mirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons.
Burbank KS
PLoS Comput Biol; 2015 Dec; 11(12):e1004566. PubMed ID: 26633645
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding.
Gardner B; Grüning A
PLoS One; 2016; 11(8):e0161335. PubMed ID: 27532262
[TBL] [Abstract][Full Text] [Related]
5. Locally connected spiking neural networks for unsupervised feature learning.
Saunders DJ; Patel D; Hazan H; Siegelmann HT; Kozma R
Neural Netw; 2019 Nov; 119():332-340. PubMed ID: 31499357
[TBL] [Abstract][Full Text] [Related]
6. Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition.
Bill J; Buesing L; Habenschuss S; Nessler B; Maass W; Legenstein R
PLoS One; 2015; 10(8):e0134356. PubMed ID: 26284370
[TBL] [Abstract][Full Text] [Related]
7. A Scalable Weight-Free Learning Algorithm for Regulatory Control of Cell Activity in Spiking Neuronal Networks.
Zhang X; Foderaro G; Henriquez C; Ferrari S
Int J Neural Syst; 2018 Mar; 28(2):1750015. PubMed ID: 28270025
[TBL] [Abstract][Full Text] [Related]
8. A solution to the learning dilemma for recurrent networks of spiking neurons.
Bellec G; Scherr F; Subramoney A; Hajek E; Salaj D; Legenstein R; Maass W
Nat Commun; 2020 Jul; 11(1):3625. PubMed ID: 32681001
[TBL] [Abstract][Full Text] [Related]
9. Structural plasticity on an accelerated analog neuromorphic hardware system.
Billaudelle S; Cramer B; Petrovici MA; Schreiber K; Kappel D; Schemmel J; Meier K
Neural Netw; 2021 Jan; 133():11-20. PubMed ID: 33091719
[TBL] [Abstract][Full Text] [Related]
10. Learning in neural networks by reinforcement of irregular spiking.
Xie X; Seung HS
Phys Rev E Stat Nonlin Soft Matter Phys; 2004 Apr; 69(4 Pt 1):041909. PubMed ID: 15169045
[TBL] [Abstract][Full Text] [Related]
11. A review of learning in biologically plausible spiking neural networks.
Taherkhani A; Belatreche A; Li Y; Cosma G; Maguire LP; McGinnity TM
Neural Netw; 2020 Feb; 122():253-272. PubMed ID: 31726331
[TBL] [Abstract][Full Text] [Related]
12. Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition.
Kasabov N; Dhoble K; Nuntalid N; Indiveri G
Neural Netw; 2013 May; 41():188-201. PubMed ID: 23340243
[TBL] [Abstract][Full Text] [Related]
13. Introduction to spiking neural networks: Information processing, learning and applications.
Ponulak F; Kasinski A
Acta Neurobiol Exp (Wars); 2011; 71(4):409-33. PubMed ID: 22237491
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Perturbing low dimensional activity manifolds in spiking neuronal networks.
Wärnberg E; Kumar A
PLoS Comput Biol; 2019 May; 15(5):e1007074. PubMed ID: 31150376
[TBL] [Abstract][Full Text] [Related]
16. Cooperation of spike timing-dependent and heterosynaptic plasticities in neural networks: a Fokker-Planck approach.
Zhu L; Lai YC; Hoppensteadt FC; He J
Chaos; 2006 Jun; 16(2):023105. PubMed ID: 16822008
[TBL] [Abstract][Full Text] [Related]
17. An STDP training algorithm for a spiking neural network with dynamic threshold neurons.
Strain TJ; McDaid LJ; McGinnity TM; Maguire LP; Sayers HM
Int J Neural Syst; 2010 Dec; 20(6):463-80. PubMed ID: 21117270
[TBL] [Abstract][Full Text] [Related]
18. Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks.
Nadafian A; Ganjtabesh M
Neural Comput; 2024 Jun; 36(7):1332-1352. PubMed ID: 38776969
[TBL] [Abstract][Full Text] [Related]
19. Online Learning and Memory of Neural Trajectory Replays for Prefrontal Persistent and Dynamic Representations in the Irregular Asynchronous State.
Sarazin MXB; Victor J; Medernach D; Naudé J; Delord B
Front Neural Circuits; 2021; 15():648538. PubMed ID: 34305535
[TBL] [Abstract][Full Text] [Related]
20. Biologically plausible deep learning - But how far can we go with shallow networks?
Illing B; Gerstner W; Brea J
Neural Netw; 2019 Oct; 118():90-101. PubMed ID: 31254771
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]