Wiener N. (1958). Nonlinear Problems in Random Theory.

See more from authors: Wiener N

References and models cited by this paper
References and models that cite this paper

Badel L et al. (2008). Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. Journal of neurophysiology. 99 [PubMed]

Eger M, Eckhorn R. (2002). A model-based approach for the analysis of neuronal information transmission in multi-input and -output systems. Journal of computational neuroscience. 12 [PubMed]

Franz MO, Schölkopf B. (2006). A unifying view of wiener and volterra theory and polynomial kernel regression. Neural computation. 18 [PubMed]

Hong S, Agüera y Arcas B, Fairhall AL. (2007). Single neuron computation: from dynamical system to feature detector. Neural computation. 19 [PubMed]

Jolivet R, Gerstner W. (2004). Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. Journal of physiology, Paris. 98 [PubMed]

Jolivet R et al. (2008). A benchmark test for a quantitative assessment of simple neuron models. Journal of neuroscience methods. 169 [PubMed]

Jolivet R, Lewis TJ, Gerstner W. (2004). Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy. Journal of neurophysiology. 92 [PubMed]

Jolivet R, Rauch A, Lüscher HR, Gerstner W. (2006). Predicting spike timing of neocortical pyramidal neurons by simple threshold models. Journal of computational neuroscience. 21 [PubMed]

Klein DJ, Depireux DA, Simon JZ, Shamma SA. (2000). Robust spectrotemporal reverse correlation for the auditory system: optimizing stimulus design. Journal of computational neuroscience. 9 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.