110 related articles for article (PubMed ID: 19718816)
1. Increasing memory capacity and reducing spurious states in neural networks by introducing coherent and collective firing.
Koh YW; Takatsuka K
Neural Comput; 2009 May; 21(5):1321-34. PubMed ID: 19718816
[TBL] [Abstract][Full Text] [Related]
2. Efficient continuous-time asymmetric Hopfield networks for memory retrieval.
Zheng P; Tang W; Zhang J
Neural Comput; 2010 Jun; 22(6):1597-614. PubMed ID: 20141477
[TBL] [Abstract][Full Text] [Related]
3. Memory capacity of balanced networks.
Aviel Y; Horn D; Abeles M
Neural Comput; 2005 Mar; 17(3):691-713. PubMed ID: 15802011
[TBL] [Abstract][Full Text] [Related]
4. Network capacity analysis for latent attractor computation.
Doboli S; Minai AA
Network; 2003 May; 14(2):273-302. PubMed ID: 12790185
[TBL] [Abstract][Full Text] [Related]
5. Memory dynamics in attractor networks with saliency weights.
Tang H; Li H; Yan R
Neural Comput; 2010 Jul; 22(7):1899-926. PubMed ID: 20235821
[TBL] [Abstract][Full Text] [Related]
6. Computing and stability in cortical networks.
Latham PE; Nirenberg S
Neural Comput; 2004 Jul; 16(7):1385-412. PubMed ID: 15165395
[TBL] [Abstract][Full Text] [Related]
7. Associative memory in quaternionic Hopfield neural network.
Isokawa T; Nishimura H; Kamiura N; Matsui N
Int J Neural Syst; 2008 Apr; 18(2):135-45. PubMed ID: 18452247
[TBL] [Abstract][Full Text] [Related]
8. Mean-driven and fluctuation-driven persistent activity in recurrent networks.
Renart A; Moreno-Bote R; Wang XJ; Parga N
Neural Comput; 2007 Jan; 19(1):1-46. PubMed ID: 17134316
[TBL] [Abstract][Full Text] [Related]
9. Dynamics and robustness of familiarity memory.
Cortes JM; Greve A; Barrett AB; van Rossum MC
Neural Comput; 2010 Feb; 22(2):448-66. PubMed ID: 19842985
[TBL] [Abstract][Full Text] [Related]
10. Correlation between eigenvalue spectra and dynamics of neural networks.
Zhou Q; Jin T; Zhao H
Neural Comput; 2009 Oct; 21(10):2931-41. PubMed ID: 19635013
[TBL] [Abstract][Full Text] [Related]
11. Effects of delays on the basin boundary of attraction in a hopfield network of two delay-connecting neurons.
Xu J; Shang HL; Huang Y
Nonlinear Dynamics Psychol Life Sci; 2009 Apr; 13(2):161-80. PubMed ID: 19327253
[TBL] [Abstract][Full Text] [Related]
12. Cortical network modeling: analytical methods for firing rates and some properties of networks of LIF neurons.
Tuckwell HC
J Physiol Paris; 2006; 100(1-3):88-99. PubMed ID: 17064883
[TBL] [Abstract][Full Text] [Related]
13. A unified approach to building and controlling spiking attractor networks.
Eliasmith C
Neural Comput; 2005 Jun; 17(6):1276-314. PubMed ID: 15901399
[TBL] [Abstract][Full Text] [Related]
14. Sequence memory based on coherent spin-interaction neural networks.
Xia M; Wong WK; Wang Z
Neural Comput; 2014 Dec; 26(12):2944-61. PubMed ID: 25149698
[TBL] [Abstract][Full Text] [Related]
15. Experience-induced neural circuits that achieve high capacity.
Feldman V; Valiant LG
Neural Comput; 2009 Oct; 21(10):2715-54. PubMed ID: 19635015
[TBL] [Abstract][Full Text] [Related]
16. Learning beyond finite memory in recurrent networks of spiking neurons.
Tino P; Mills AJ
Neural Comput; 2006 Mar; 18(3):591-613. PubMed ID: 16483409
[TBL] [Abstract][Full Text] [Related]
17. A model of the hippocampal-cortical memory system.
Pan X; Tsukada M
Biol Cybern; 2006 Aug; 95(2):159-67. PubMed ID: 16699781
[TBL] [Abstract][Full Text] [Related]
18. Coexistence of memory patterns and mixed states in a sparsely encoded associative memory model storing ultrametric patterns.
Kimoto T; Okada M
Biol Cybern; 2004 Apr; 90(4):229-38. PubMed ID: 15085342
[TBL] [Abstract][Full Text] [Related]
19. Chaotic pattern transitions in pulse neural networks.
Kanamaru T
Neural Netw; 2007 Sep; 20(7):781-90. PubMed ID: 17689050
[TBL] [Abstract][Full Text] [Related]
20. How noise affects the synchronization properties of recurrent networks of inhibitory neurons.
Brunel N; Hansel D
Neural Comput; 2006 May; 18(5):1066-110. PubMed ID: 16595058
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
