1053 related articles for article (PubMed ID: 16274972)
1. Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival.
Jolivet R; Gerstner W
J Physiol Paris; 2004; 98(4-6):442-51. PubMed ID: 16274972
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.
Burkitt AN
Biol Cybern; 2006 Jul; 95(1):1-19. PubMed ID: 16622699
[TBL] [Abstract][Full Text] [Related]
5. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity.
Brette R; Gerstner W
J Neurophysiol; 2005 Nov; 94(5):3637-42. PubMed ID: 16014787
[TBL] [Abstract][Full Text] [Related]
6. A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties.
Burkitt AN
Biol Cybern; 2006 Aug; 95(2):97-112. PubMed ID: 16821035
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input.
Burkitt AN; Meffin H; Grayden DB
Biol Cybern; 2003 Aug; 89(2):119-25. PubMed ID: 12905040
[TBL] [Abstract][Full Text] [Related]
10. Different types of noise in leaky integrate-and-fire model of neuronal dynamics with discrete periodical input.
Di Maio V; Lánský P; Rodriguez R
Gen Physiol Biophys; 2004 Mar; 23(1):21-38. PubMed ID: 15270127
[TBL] [Abstract][Full Text] [Related]
11. Event-driven simulations of nonlinear integrate-and-fire neurons.
Tonnelier A; Belmabrouk H; Martinez D
Neural Comput; 2007 Dec; 19(12):3226-38. PubMed ID: 17970651
[TBL] [Abstract][Full Text] [Related]
12. Contributions of intrinsic membrane dynamics to fast network oscillations with irregular neuronal discharges.
Geisler C; Brunel N; Wang XJ
J Neurophysiol; 2005 Dec; 94(6):4344-61. PubMed ID: 16093332
[TBL] [Abstract][Full Text] [Related]
13. Response of integrate-and-fire neurons to noisy inputs filtered by synapses with arbitrary timescales: firing rate and correlations.
Moreno-Bote R; Parga N
Neural Comput; 2010 Jun; 22(6):1528-72. PubMed ID: 20100073
[TBL] [Abstract][Full Text] [Related]
14. Reducing the variability of neural responses: a computational theory of spike-timing-dependent plasticity.
Bohte SM; Mozer MC
Neural Comput; 2007 Feb; 19(2):371-403. PubMed ID: 17206869
[TBL] [Abstract][Full Text] [Related]
15. Exact simulation of integrate-and-fire models with synaptic conductances.
Brette R
Neural Comput; 2006 Aug; 18(8):2004-27. PubMed ID: 16771661
[TBL] [Abstract][Full Text] [Related]
16. Spike train statistics and dynamics with synaptic input from any renewal process: a population density approach.
Ly C; Tranchina D
Neural Comput; 2009 Feb; 21(2):360-96. PubMed ID: 19431264
[TBL] [Abstract][Full Text] [Related]
17. How synapses in the auditory system wax and wane: theoretical perspectives.
Burkitt AN; van Hemmen JL
Biol Cybern; 2003 Nov; 89(5):318-32. PubMed ID: 14669012
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Computation of spiking activity for a stochastic spatial neuron model: effects of spatial distribution of input on bimodality and CV of the ISI distribution.
Tuckwell HC
Math Biosci; 2007 Jun; 207(2):246-60. PubMed ID: 17337282
[TBL] [Abstract][Full Text] [Related]
20. Spike-timing dependent synaptic plasticity: a phenomenological framework.
Kistler WM
Biol Cybern; 2002 Dec; 87(5-6):416-27. PubMed ID: 12461631
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]