1369 related articles for article (PubMed ID: 15978023)
1. Learning in realistic networks of spiking neurons and spike-driven plastic synapses.
Mongillo G; Curti E; Romani S; Amit DJ
Eur J Neurosci; 2005 Jun; 21(11):3143-60. PubMed ID: 15978023
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Modelling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses.
Del Giudice P; Fusi S; Mattia M
J Physiol Paris; 2003; 97(4-6):659-81. PubMed ID: 15242673
[TBL] [Abstract][Full Text] [Related]
4. A computational framework for cortical learning.
Suri RE
Biol Cybern; 2004 Jun; 90(6):400-9. PubMed ID: 15316786
[TBL] [Abstract][Full Text] [Related]
5. Long- and short-term plasticity at mossy fiber synapses on mossy cells in the rat dentate gyrus.
Lysetskiy M; Földy C; Soltesz I
Hippocampus; 2005; 15(6):691-6. PubMed ID: 15986406
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Self-tuning of neural circuits through short-term synaptic plasticity.
Sussillo D; Toyoizumi T; Maass W
J Neurophysiol; 2007 Jun; 97(6):4079-95. PubMed ID: 17409166
[TBL] [Abstract][Full Text] [Related]
8. Synaptic plasticity: taming the beast.
Abbott LF; Nelson SB
Nat Neurosci; 2000 Nov; 3 Suppl():1178-83. PubMed ID: 11127835
[TBL] [Abstract][Full Text] [Related]
9. Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics.
Ros E; Carrillo R; Ortigosa EM; Barbour B; Agís R
Neural Comput; 2006 Dec; 18(12):2959-93. PubMed ID: 17052155
[TBL] [Abstract][Full Text] [Related]
10. Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates.
Fusi S
Biol Cybern; 2002 Dec; 87(5-6):459-70. PubMed ID: 12461635
[TBL] [Abstract][Full Text] [Related]
11. Persistent neural activity: prevalence and mechanisms.
Major G; Tank D
Curr Opin Neurobiol; 2004 Dec; 14(6):675-84. PubMed ID: 15582368
[TBL] [Abstract][Full Text] [Related]
12. Inhibitory synaptic plasticity regulates pyramidal neuron spiking in the rodent hippocampus.
Saraga F; Balena T; Wolansky T; Dickson CT; Woodin MA
Neuroscience; 2008 Jul; 155(1):64-75. PubMed ID: 18562122
[TBL] [Abstract][Full Text] [Related]
13. Bayesian spiking neurons II: learning.
Deneve S
Neural Comput; 2008 Jan; 20(1):118-45. PubMed ID: 18045003
[TBL] [Abstract][Full Text] [Related]
14. Discrete states of synaptic strength in a stochastic model of spike-timing-dependent plasticity.
Elliott T
Neural Comput; 2010 Jan; 22(1):244-72. PubMed ID: 19764870
[TBL] [Abstract][Full Text] [Related]
15. Spike-driven synaptic dynamics generating working memory states.
Amit DJ; Mongillo G
Neural Comput; 2003 Mar; 15(3):565-96. PubMed ID: 12620158
[TBL] [Abstract][Full Text] [Related]
16. Spontaneous dynamics of asymmetric random recurrent spiking neural networks.
Soula H; Beslon G; Mazet O
Neural Comput; 2006 Jan; 18(1):60-79. PubMed ID: 16354381
[TBL] [Abstract][Full Text] [Related]
17. Spike-timing-dependent plasticity in balanced random networks.
Morrison A; Aertsen A; Diesmann M
Neural Comput; 2007 Jun; 19(6):1437-67. PubMed ID: 17444756
[TBL] [Abstract][Full Text] [Related]
18. Synaptic theory of working memory.
Mongillo G; Barak O; Tsodyks M
Science; 2008 Mar; 319(5869):1543-6. PubMed ID: 18339943
[TBL] [Abstract][Full Text] [Related]
19. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence.
Gilson M; Burkitt AN; Grayden DB; Thomas DA; van Hemmen JL
Biol Cybern; 2010 Nov; 103(5):365-86. PubMed ID: 20882297
[TBL] [Abstract][Full Text] [Related]
20. Learning to discriminate through long-term changes of dynamical synaptic transmission.
Leibold C; Bendels MH
Neural Comput; 2009 Dec; 21(12):3408-28. PubMed ID: 19764877
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
