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]

Hennig MH, Postlethwaite M, Forsythe ID, Graham BP. (2008). Interactions between multiple sources of short-term plasticity during evoked and spontaneous activity at the rat calyx of Held. The Journal of physiology. 586 [PubMed]

• Multiple mechanisms of short term plasticity at the calyx of Held (Hennig et al. 2008) [Model]

Mondal A, Upadhyay RK. (2018). Diverse neuronal responses of a fractional-order Izhikevich model: journey from chattering to fast spiking Nonlinear Dynamics. 91

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

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

Santamaria F, Teka W, Stockton D. (2016). Power-law dynamics of membrane conductances increase spiking diversity in a Hodgkin-Huxley model PLoS Comput Biol. 12(3)

• Hodgkin–Huxley model with fractional gating (Teka et al. 2016) [Model]

Serman M, Serman N, Griffith NJ. (2007). Modelling neural informational propagation and functional auditory sensory memory with temporal multi-scale operators. Journal of computational neuroscience. 23 [PubMed]

Teka W, Marinov TM, Santamaria F. (2014). Neuronal spike timing adaptation described with a fractional leaky integrate-and-fire model. PLoS computational biology. 10 [PubMed]

• Fractional leaky integrate-and-fire model (Teka et al. 2014) [Model]

Tripp BP, Eliasmith C. (2010). Population models of temporal differentiation. Neural computation. 22 [PubMed]

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

Zilany MS, Bruce IC, Carney LH. (2014). Updated parameters and expanded simulation options for a model of the auditory periphery. The Journal of the Acoustical Society of America. 135 [PubMed]

• Cochlea: inner ear models in Python (Zilany et al 2009, 2014; Holmberg M 2007) [Model]

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. The Journal of the Acoustical Society of America. 126 [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]