References and models cited by this paper

References and models that cite this paper

Abeles M (1991) Corticonics: Neural Circuits of the Cerebral Cortex.

Amit DJ, Tsodyks MV (1992) Effective neurons and attractor neural networks in cortical environment. Network 3:121

Barrett JN (1975) Motoneuron dendrites: role in synaptic integration. Fed Proc 34:1398-407 [PubMed]

Bernander O, Douglas RJ, Martin KA, Koch C (1991) Synaptic background activity influences spatiotemporal integration in single pyramidal cells. Proc Natl Acad Sci U S A 88:11569-73 [PubMed]

Brunel N, Hakim V (1999) Fast global oscillations in networks of integrate-and-fire neurons with low firing rates. Neural Comput 11:1621-71 [PubMed]

Calvin WH (1974) Three modes of repetitive firing and the role of threshold time course between spikes. Brain Res 69:341-6 [PubMed]

Cox DR (1962) Renewal Theory.

Fetz EE, Gustafsson B (1983) Relation between shapes of post-synaptic potentials and changes in firing probability of cat motoneurones. J Physiol 341:387-410 [PubMed]

Gammaitoni L, Hanggi P, Jung P, Marchesoni F (1998) Stochastic Resonance Reviews Of Modern Physics 70:223-287

Gerstner W (1995) Time structure of the activity in neural network models. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 51:738-758 [PubMed]

Gerstner W (2001) A framework for spiking neuron models: The spike response method The Handbook of Biological Physics, Gielen S et al, ed. pp.469

Herrmann A, Gerstner W (2002) Noise and the PSTH response to current transients: II. Integrate-and-fire model with slow recovery and application to motoneuron data. J Comput Neurosci 12:83-95 [PubMed]

Holmes WR, Woody CD (1989) Effects of uniform and non-uniform synaptic 'activation-distributions' on the cable properties of modeled cortical pyramidal neurons. Brain Res 505:12-22 [PubMed]

Johannesma PI (1968) Diffusion models of the stochastic activity of neurons. Neural Networks., Caianello ER, ed. pp.116

Kempter R, Gerstner W, van Hemmen JL, Wagner H (1998) Extracting oscillations. Neuronal coincidence detection with noisy periodic spike input. Neural Comput 10:1987-2017 [PubMed]

Kenyon GT, Puff RD, Fetz EE (1992) A general diffusion model for analyzing the efficacy of synaptic input to threshold neurons. Biol Cybern 67:133-41 [PubMed]

Kirkwood PA, Sears TA (1978) The synaptic connexions to intercostal motoneurones as revealed by the average common excitation potential. J Physiol 275:103-34 [PubMed]

Kistler WM, Gerstner W, van Hemmen JL (1997) Reduction of Hodgkin-Huxley equations to a single-variable threshold model. Neural Comput 9:1015-1045

Knox CK (1974) Cross-correlation functions for a neuronal model. Biophys J 14:567-82 [Journal] [PubMed]

Koch C (1999) Biophysics Of Computation: Information Processing in Single Neurons

Midroni G, Ashby P (1989) How synaptic noise may affect cross-correlations. J Neurosci Methods 27:1-12 [PubMed]

Miller MI, Mark KE (1992) A statistical study of cochlear nerve discharge patterns in response to complex speech stimuli. J Acoust Soc Am 92:202-9 [PubMed]

Moore GP, Segundo JP, Perkel DH, Levitan H (1970) Statistical signs of synaptic interaction in neurons. Biophys J 10:876-900 [Journal] [PubMed]

Paré D, Shink E, Gaudreau H, Destexhe A, Lang EJ (1998) Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons In vivo. J Neurophysiol 79:1450-60 [Journal] [PubMed]

Perkel DH, Gerstein GL, Moore GP (1967) Neuronal spike trains and stochastic point processes. I. The single spike train. Biophys J 7:391-418 [Journal] [PubMed]

Plesser HE, Gerstner W (2000) Noise in integrate-and-fire neurons: from stochastic input to escape rates. Neural Comput 12:367-84 [PubMed]

Plesser HE, Tanaka S (1997) Stochastic resonance in a model neuron with reset. Phys Lett A 225:228-234

Poliakov AV, Powers RK, Binder MD (1997) Functional identification of the input-output transforms of motoneurones in the rat and cat. J Physiol 504 ( Pt 2):401-24 [PubMed]

Poliakov AV, Powers RK, Sawczuk A, Binder MD (1996) Effects of background noise on the response of rat and cat motoneurones to excitatory current transients. J Physiol 495 ( Pt 1):143-57 [PubMed]

Powers RK, Binder MD (1996) Experimental evaluation of input-output models of motoneuron discharge. J Neurophysiol 75:367-79 [Journal] [PubMed]

Rapp M, Yarom Y, Segev I (1992) The impact of parallel fiber background activity on the cable properties of cerebellar Purkinje cells Neural Comput 4:518-533

Schwindt PC, Crill WE (1982) Factors influencing motoneuron rhythmic firing: results from a voltage-clamp study. J Neurophysiol 48:875-90 [Journal] [PubMed]

Shadlen MN, Newsome WT (1994) Noise, neural codes and cortical organization. Curr Opin Neurobiol 4:569-79 [PubMed]

Siebert WM, Gray PR (1963) Random process model for the firing pattern of single auditory neurons. Q Prog Rep Res Lab Of Elec 71:241

Stein RB (1967) Some models of neuronal variability. Biophys J 7:37-68 [Journal] [PubMed]

Tuckwell HC (1989) Stochastic Processes In The Neurosciences

Uhlenbeck GE, Ornstein LS (1930) On the theory of Brownian motion Phys Rev 36:823-841 [Journal]

Weiss Y (2000) Correctness of local probability in graphical models with loops. Neural Comput 12:1-41 [PubMed]

Wilson HR, Cowan JD (1972) Excitatory and inhibitory interactions in localized populations of model neurons. Biophys J 12:1-24 [Journal] [PubMed]

Bohte SM, Mozer MC (2007) Reducing the variability of neural responses: a computational theory of spike-timing-dependent plasticity. Neural Comput 19:371-403 [Journal] [PubMed]

Brown E, Moehlis J, Holmes P (2004) On the phase reduction and response dynamics of neural oscillator populations. Neural Comput 16:673-715 [Journal] [PubMed]

Brown E, Moehlis J, Holmes P, Clayton E, Rajkowski J, Aston-Jones G (2004) The influence of spike rate and stimulus duration on noradrenergic neurons. J Comput Neurosci 17:13-29 [Journal] [PubMed]

Chance FS (2007) Receiver operating characteristic (ROC) analysis for characterizing synaptic efficacy. J Neurophysiol 97:1799-808 [Journal] [PubMed]

Herrmann A, Gerstner W (2002) Noise and the PSTH response to current transients: II. Integrate-and-fire model with slow recovery and application to motoneuron data. J Comput Neurosci 12:83-95 [PubMed]

Legenstein R, Naeger C, Maass W (2005) What can a neuron learn with spike-timing-dependent plasticity? Neural Comput 17:2337-82 [Journal] [PubMed]

London M, Roth A, Beeren L, Häusser M, Latham PE (2010) Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex. Nature 466:123-7 [Journal] [PubMed]

Masuda N (2005) Simultaneous Rate-Synchrony Codes in Populations of Spiking Neurons Neural Comput 18:45-59

Troyer TW (2006) Factors affecting phase synchronization in integrate-and-fire oscillators. J Comput Neurosci 20:191-200 [Journal] [PubMed]

Zhang X, Carney LH (2005) Response properties of an integrate-and-fire model that receives subthreshold inputs. Neural Comput 17:2571-601 [Journal] [PubMed]