Azouz R. (2005). Dynamic spatiotemporal synaptic integration in cortical neurons: neuronal gain, revisited. Journal of neurophysiology. 94 [PubMed]

Brette R. (2012). Computing with neural synchrony. PLoS computational biology. 8 [PubMed]

• Computing with neural synchrony (Brette 2012) [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]

Moreno-Bote R, Rinzel J, Rubin N. (2007). Noise-induced alternations in an attractor network model of perceptual bistability. Journal of neurophysiology. 98 [PubMed]

Paninski L, Pillow JW, Simoncelli EP. (2004). Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural computation. 16 [PubMed]

Renart A, Moreno-Bote R, Wang XJ, Parga N. (2007). Mean-driven and fluctuation-driven persistent activity in recurrent networks. Neural computation. 19 [PubMed]

Rossant C, Leijon S, Magnusson AK, Brette R. (2011). Sensitivity of noisy neurons to coincident inputs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

• Sensitivity of noisy neurons to coincident inputs (Rossant et al. 2011) [Model]

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]