Arsiero M, Lüscher HR, Lundstrom BN, Giugliano M. (2007). The impact of input fluctuations on the frequency-current relationships of layer 5 pyramidal neurons in the rat medial prefrontal cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]

• Input Fluctuations effects on f-I curves (Arsiero et al. 2007) [Model]

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

Cakan C, Obermayer K. (2020). PLoS computational biology. 16 [PubMed]

• Mean-field models of neural populations under electrical stimulation (Cakan & Obermayer 2020) [Model]

Cavallari S, Panzeri S, Mazzoni A. (2014). Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks. Frontiers in neural circuits. 8 [PubMed]

• I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014) [Model]

Lindner B, Droste F. (2017). Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise J. Comp. Neurosci..

• Theory and simulation of integrate-and-fire neurons driven by shot noise (Droste & Lindner 2017) [Model]

Muller E, Buesing L, Schemmel J, Meier K. (2007). Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural computation. 19 [PubMed]

Rudolph M, Destexhe A. (2006). On the use of analytical expressions for the voltage distribution to analyze intracellular recordings. Neural computation. 18 [PubMed]

Spain WJ, Fairhall AL, Lundstrom BN, Famulare M, Sorensen LB. (2009). Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons J Comput Neurosci. in press

• Hodgkin-Huxley simplifed 2D and 3D models (Lundstrom et al. 2009) [Model]