These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
147 related articles for article (PubMed ID: 21492011)
1. On the simulation of nonlinear bidimensional spiking neuron models. Touboul J Neural Comput; 2011 Jul; 23(7):1704-42. PubMed ID: 21492011 [TBL] [Abstract][Full Text] [Related]
2. Importance of the cutoff value in the quadratic adaptive integrate-and-fire model. Touboul J Neural Comput; 2009 Aug; 21(8):2114-22. PubMed ID: 19409056 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. On the performance of voltage stepping for the simulation of adaptive, nonlinear integrate-and-fire neuronal networks. Kaabi MG; Tonnelier A; Martinez D Neural Comput; 2011 May; 23(5):1187-204. PubMed ID: 21299420 [TBL] [Abstract][Full Text] [Related]
5. Overview of facts and issues about neural coding by spikes. Cessac B; Paugam-Moisy H; Viéville T J Physiol Paris; 2010; 104(1-2):5-18. PubMed ID: 19925865 [TBL] [Abstract][Full Text] [Related]
6. Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies. Rudolph M; Destexhe A Neural Comput; 2006 Sep; 18(9):2146-210. PubMed ID: 16846390 [TBL] [Abstract][Full Text] [Related]
7. Efficient computation based on stochastic spikes. Ernst U; Rotermund D; Pawelzik K Neural Comput; 2007 May; 19(5):1313-43. PubMed ID: 17381268 [TBL] [Abstract][Full Text] [Related]
8. Simplicity and efficiency of integrate-and-fire neuron models. Plesser HE; Diesmann M Neural Comput; 2009 Feb; 21(2):353-9. PubMed ID: 19431263 [TBL] [Abstract][Full Text] [Related]
10. Frequency-dependent response properties of adapting spiking neurons. Gigante G; Del Giudice P; Mattia M Math Biosci; 2007 Jun; 207(2):336-51. PubMed ID: 17367823 [TBL] [Abstract][Full Text] [Related]
11. Feature selection in simple neurons: how coding depends on spiking dynamics. Famulare M; Fairhall A Neural Comput; 2010 Mar; 22(3):581-98. PubMed ID: 19922290 [TBL] [Abstract][Full Text] [Related]
12. Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy. Jolivet R; Lewis TJ; Gerstner W J Neurophysiol; 2004 Aug; 92(2):959-76. PubMed ID: 15277599 [TBL] [Abstract][Full Text] [Related]
13. Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons. Jackson BS Neural Comput; 2004 Oct; 16(10):2125-95. PubMed ID: 15333210 [TBL] [Abstract][Full Text] [Related]
14. Spiking neural networks for cortical neuronal spike train decoding. Fang H; Wang Y; He J Neural Comput; 2010 Apr; 22(4):1060-85. PubMed ID: 19922291 [TBL] [Abstract][Full Text] [Related]
15. Accelerating event-driven simulation of spiking neurons with multiple synaptic time constants. D'Haene M; Schrauwen B; Van Campenhout J; Stroobandt D Neural Comput; 2009 Apr; 21(4):1068-99. PubMed ID: 18928367 [TBL] [Abstract][Full Text] [Related]
16. Analog-digital simulations of full conductance-based networks of spiking neurons with spike timing dependent plasticity. Zou Q; Bornat Y; Saïghi S; Tomas J; Renaud S; Destexhe A Network; 2006 Sep; 17(3):211-33. PubMed ID: 17162612 [TBL] [Abstract][Full Text] [Related]
17. Hybrid spiking models. Izhikevich EM Philos Trans A Math Phys Eng Sci; 2010 Nov; 368(1930):5061-70. PubMed ID: 20921012 [TBL] [Abstract][Full Text] [Related]
18. An artificial chaotic spiking neuron inspired by spiral ganglion cell: paralleled spike encoding, theoretical analysis, and electronic circuit implementation. Torikai H; Nishigami T Neural Netw; 2009; 22(5-6):664-73. PubMed ID: 19595567 [TBL] [Abstract][Full Text] [Related]