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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. J Neurosci 27:3274-84 [Journal] [PubMed]

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

Deneve S (2008) Bayesian spiking neurons II: learning. Neural Comput 20:118-45 [Journal] [PubMed]

Goldman MS (2004) Enhancement of information transmission efficiency by synaptic failures. Neural Comput 16:1137-62 [Journal] [PubMed]

Haas JS, Dorval AD, White JA (2007) Contributions of Ih to feature selectivity in layer II stellate cells of the entorhinal cortex. J Comput Neurosci 22:161-71 [Journal] [PubMed]

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

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

Narayanan R, Johnston D (2007) Long-term potentiation in rat hippocampal neurons is accompanied by spatially widespread changes in intrinsic oscillatory dynamics and excitability. Neuron 56:1061-75 [Journal] [PubMed]

•	Resonance properties through Chirp stimulus responses (Narayanan Johnston 2007, 2008) [Model]
•	Chirp stimulus responses in a morphologically realistic model (Narayanan and Johnston, 2007) [Model]

Richard A, Orio P, Tanré E (2018) An integrate-and-fire model to generate spike trains with long-range dependence Journal of Computational Neuroscience [Journal]

•	Perfect Integrate and fire with noisy adaptation or fractional noise (Richard et al 2018) [Model]

Sharpee T, Rust NC, Bialek W (2004) Analyzing neural responses to natural signals: maximally informative dimensions. Neural Comput 16:223-50 [Journal] [PubMed]

Shlens J, Kennel MB, Abarbanel HD, Chichilnisky EJ (2007) Estimating information rates with confidence intervals in neural spike trains. Neural Comput 19:1683-719 [Journal] [PubMed]

Snippe HP, van Hateren JH (2007) Dynamics of nonlinear feedback control. Neural Comput 19:1179-214 [Journal] [PubMed]

Tripp BP, Eliasmith C (2010) Population models of temporal differentiation. Neural Comput 22:621-59 [Journal] [PubMed]

•	Population models of temporal differentiation (Tripp and Eliasmith 2010) [Model]

Trousdale J, Carroll SR, Gabbiani F, Josic K (2014) Near-optimal decoding of transient stimuli from coupled neuronal subpopulations. J Neurosci 34:12206-22 [Journal] [PubMed]

•	Vertical System (VS) tangential cells network model (Trousdale et al. 2014) [Model]

Wang XJ, Liu Y, Sanchez-Vives MV, McCormick DA (2003) Adaptation and temporal decorrelation by single neurons in the primary visual cortex. J Neurophysiol 89:3279-93 [Journal] [PubMed]

•	Temporal decorrelation by intrinsic cellular dynamics (Wang et al 2003) [Model]

Wennekers T, Ay N (2005) Finite state automata resulting from temporal information maximization and a temporal learning rule. Neural Comput 17:2258-90 [Journal] [PubMed]

Zilany MS, Bruce IC, Nelson PC, Carney LH (2009) A phenomenological model of the synapse between the inner hair cell and auditory nerve: long-term adaptation with power-law dynamics. J Acoust Soc Am 126:2390-412 [Journal] [PubMed]

•	Long-term adaptation with power-law dynamics (Zilany et al. 2009) [Model]
•	Cochlea: inner ear models in Python (Zilany et al 2009, 2014; Holmberg M 2007) [Model]