427 related articles for article (PubMed ID: 12736341)
1. Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity.
Gütig R; Aharonov R; Rotter S; Sompolinsky H
J Neurosci; 2003 May; 23(9):3697-714. PubMed ID: 12736341
[TBL] [Abstract][Full Text] [Related]
2. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity--symmetry breaking.
Gilson M; Burkitt AN; Grayden DB; Thomas DA; van Hemmen JL
Biol Cybern; 2009 Aug; 101(2):103-14. PubMed ID: 19536559
[TBL] [Abstract][Full Text] [Related]
3. What can a neuron learn with spike-timing-dependent plasticity?
Legenstein R; Naeger C; Maass W
Neural Comput; 2005 Nov; 17(11):2337-82. PubMed ID: 16156932
[TBL] [Abstract][Full Text] [Related]
4. Partial Breakdown of Input Specificity of STDP at Individual Synapses Promotes New Learning.
Volgushev M; Chen JY; Ilin V; Goz R; Chistiakova M; Bazhenov M
J Neurosci; 2016 Aug; 36(34):8842-55. PubMed ID: 27559167
[TBL] [Abstract][Full Text] [Related]
5. Representation of input structure in synaptic weights by spike-timing-dependent plasticity.
Gilson M; Burkitt AN; Grayden DB; Thomas DA; van Hemmen JL
Phys Rev E Stat Nonlin Soft Matter Phys; 2010 Aug; 82(2 Pt 1):021912. PubMed ID: 20866842
[TBL] [Abstract][Full Text] [Related]
6. Reconciling the STDP and BCM models of synaptic plasticity in a spiking recurrent neural network.
Bush D; Philippides A; Husbands P; O'Shea M
Neural Comput; 2010 Aug; 22(8):2059-85. PubMed ID: 20438333
[TBL] [Abstract][Full Text] [Related]
7. Hebbian learning from higher-order correlations requires crosstalk minimization.
Cox KJ; Adams PR
Biol Cybern; 2014 Aug; 108(4):405-22. PubMed ID: 24862556
[TBL] [Abstract][Full Text] [Related]
8. Intrinsic stabilization of output rates by spike-based Hebbian learning.
Kempter R; Gerstner W; van Hemmen JL
Neural Comput; 2001 Dec; 13(12):2709-41. PubMed ID: 11705408
[TBL] [Abstract][Full Text] [Related]
9. Neuron as a reward-modulated combinatorial switch and a model of learning behavior.
Rvachev MM
Neural Netw; 2013 Oct; 46():62-74. PubMed ID: 23708671
[TBL] [Abstract][Full Text] [Related]
10. Spike-timing-dependent Hebbian plasticity as temporal difference learning.
Rao RP; Sejnowski TJ
Neural Comput; 2001 Oct; 13(10):2221-37. PubMed ID: 11570997
[TBL] [Abstract][Full Text] [Related]
11. Bayesian spiking neurons II: learning.
Deneve S
Neural Comput; 2008 Jan; 20(1):118-45. PubMed ID: 18045003
[TBL] [Abstract][Full Text] [Related]
12. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity.
Song S; Miller KD; Abbott LF
Nat Neurosci; 2000 Sep; 3(9):919-26. PubMed ID: 10966623
[TBL] [Abstract][Full Text] [Related]
13. Spike propagation synchronized by temporally asymmetric Hebbian learning.
Suri RE; Sejnowski TJ
Biol Cybern; 2002 Dec; 87(5-6):440-5. PubMed ID: 12461633
[TBL] [Abstract][Full Text] [Related]
14. Learning real-world stimuli in a neural network with spike-driven synaptic dynamics.
Brader JM; Senn W; Fusi S
Neural Comput; 2007 Nov; 19(11):2881-912. PubMed ID: 17883345
[TBL] [Abstract][Full Text] [Related]
15. The effect of STDP temporal kernel structure on the learning dynamics of single excitatory and inhibitory synapses.
Luz Y; Shamir M
PLoS One; 2014; 9(7):e101109. PubMed ID: 24999634
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Solving the distal reward problem with rare correlations.
Soltoggio A; Steil JJ
Neural Comput; 2013 Apr; 25(4):940-78. PubMed ID: 23339615
[TBL] [Abstract][Full Text] [Related]
18. Learning the structure of correlated synaptic subgroups using stable and competitive spike-timing-dependent plasticity.
Meffin H; Besson J; Burkitt AN; Grayden DB
Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Apr; 73(4 Pt 1):041911. PubMed ID: 16711840
[TBL] [Abstract][Full Text] [Related]
19. Spike-Timing-dependent plasticity and short-term plasticity jointly control the excitation of Hebbian plasticity without weight constraints in neural networks.
Fernando S; Yamada K
Comput Intell Neurosci; 2012; 2012():968272. PubMed ID: 23365563
[TBL] [Abstract][Full Text] [Related]
20. Spike timing-dependent plasticity: a Hebbian learning rule.
Caporale N; Dan Y
Annu Rev Neurosci; 2008; 31():25-46. PubMed ID: 18275283
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]