Eggert J, van Hemmen JL. (2001). Modeling neuronal assemblies: theory and implementation. Neural computation. 13 [PubMed]
Ferguson KA, Njap F, Nicola W, Skinner FK, Campbell SA. (2015). Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus. Journal of computational neuroscience. 39 [PubMed]
Laing CR, Longtin A. (2003). Dynamics of deterministic and stochastic paired excitatory-inhibitory delayed feedback. Neural computation. 15 [PubMed]
Ly C, Tranchina D. (2007). Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling. Neural computation. 19 [PubMed]
Masuda N, Doiron B, Longtin A, Aihara K. (2005). Coding of temporally varying signals in networks of spiking neurons with global delayed feedback. Neural computation. 17 [PubMed]
Muller E, Buesing L, Schemmel J, Meier K. (2007). Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural computation. 19 [PubMed]
Nicola W, Campbell SA. (2013). Bifurcations of large networks of two-dimensional integrate and fire neurons. Journal of computational neuroscience. 35 [PubMed]
Nykamp DQ, Tranchina D. (2000). A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning. Journal of computational neuroscience. 8 [PubMed]
Omurtag A, Knight BW, Sirovich L. (2000). On the simulation of large populations of neurons. Journal of computational neuroscience. 8 [PubMed]
Van Rossum MC. (2001). The transient precision of integrate and fire neurons: effect of background activity and noise. Journal of computational neuroscience. 10 [PubMed]