129 related articles for article (PubMed ID: 9097478)
1. Covariance learning of correlated patterns in competitive networks.
Minai AA
Neural Comput; 1997 Apr; 9(3):667-81. PubMed ID: 9097478
[TBL] [Abstract][Full Text] [Related]
2. Self-regulation mechanism of temporally asymmetric Hebbian plasticity.
Matsumoto N; Okada M
Neural Comput; 2002 Dec; 14(12):2883-902. PubMed ID: 12487796
[TBL] [Abstract][Full Text] [Related]
3. Learning-induced synchronization and plasticity of a developing neural network.
Chao TC; Chen CM
J Comput Neurosci; 2005 Dec; 19(3):311-24. PubMed ID: 16502239
[TBL] [Abstract][Full Text] [Related]
4. Classification of correlated patterns with a configurable analog VLSI neural network of spiking neurons and self-regulating plastic synapses.
Giulioni M; Pannunzi M; Badoni D; Dante V; Del Giudice P
Neural Comput; 2009 Nov; 21(11):3106-29. PubMed ID: 19686067
[TBL] [Abstract][Full Text] [Related]
5. Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network.
Mongillo G; Amit DJ; Brunel N
Eur J Neurosci; 2003 Oct; 18(7):2011-24. PubMed ID: 14622234
[TBL] [Abstract][Full Text] [Related]
6. A model of STDP based on spatially and temporally local information: derivation and combination with gated decay.
Gorchetchnikov A; Versace M; Hasselmo ME
Neural Netw; 2005; 18(5-6):458-66. PubMed ID: 16095878
[TBL] [Abstract][Full Text] [Related]
7. Reinforcement learning with modulated spike timing dependent synaptic plasticity.
Farries MA; Fairhall AL
J Neurophysiol; 2007 Dec; 98(6):3648-65. PubMed ID: 17928565
[TBL] [Abstract][Full Text] [Related]
8. Efficient Associative Computation with Discrete Synapses.
Knoblauch A
Neural Comput; 2016 Jan; 28(1):118-86. PubMed ID: 26599711
[TBL] [Abstract][Full Text] [Related]
9. Effective neuronal learning with ineffective Hebbian learning rules.
Chechik G; Meilijson I; Ruppin E
Neural Comput; 2001 Apr; 13(4):817-40. PubMed ID: 11255571
[TBL] [Abstract][Full Text] [Related]
10. Cholinergic modulation of activity-dependent synaptic plasticity in the piriform cortex and associative memory function in a network biophysical simulation.
Hasselmo ME; Barkai E
J Neurosci; 1995 Oct; 15(10):6592-604. PubMed ID: 7472421
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Experimental demonstration of associative memory with memristive neural networks.
Pershin YV; Di Ventra M
Neural Netw; 2010 Sep; 23(7):881-6. PubMed ID: 20605401
[TBL] [Abstract][Full Text] [Related]
14. A forecast-based STDP rule suitable for neuromorphic implementation.
Davies S; Galluppi F; Rast AD; Furber SB
Neural Netw; 2012 Aug; 32():3-14. PubMed ID: 22386500
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Hebbian imprinting and retrieval in oscillatory neural networks.
Scarpetta S; Zhaoping L; Hertz J
Neural Comput; 2002 Oct; 14(10):2371-96. PubMed ID: 12396567
[TBL] [Abstract][Full Text] [Related]
17. A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation.
Fiebig F; Lansner A
J Neurosci; 2017 Jan; 37(1):83-96. PubMed ID: 28053032
[TBL] [Abstract][Full Text] [Related]
18. Presynaptic inhibition rapidly stabilises recurrent excitation in the face of plasticity.
Naumann LB; Sprekeler H
PLoS Comput Biol; 2020 Aug; 16(8):e1008118. PubMed ID: 32764742
[TBL] [Abstract][Full Text] [Related]
19. Synergies between intrinsic and synaptic plasticity mechanisms.
Triesch J
Neural Comput; 2007 Apr; 19(4):885-909. PubMed ID: 17348766
[TBL] [Abstract][Full Text] [Related]
20. Learning only when necessary: better memories of correlated patterns in networks with bounded synapses.
Senn W; Fusi S
Neural Comput; 2005 Oct; 17(10):2106-38. PubMed ID: 16105220
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]