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

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

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

D'Albis T, Kempter R. (2017). A single-cell spiking model for the origin of grid-cell patterns. PLoS computational biology. 13 [PubMed]

• A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017) [Model]

Golomb D et al. (2007). Mechanisms of firing patterns in fast-spiking cortical interneurons. PLoS computational biology. 3 [PubMed]

• Fast-spiking cortical interneuron (Golomb et al. 2007) [Model]

Jolivet R et al. (2008). A benchmark test for a quantitative assessment of simple neuron models. Journal of neuroscience methods. 169 [PubMed]

• Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]

Kotaleski JH et al. (2011). Striatal fast-spiking interneurons: from firing patterns to postsynaptic impact Front. Syst. Neurosci.. 5:57

• Firing patterns in stuttering fast-spiking interneurons (Klaus et al. 2011) [Model]

Köndgen H et al. (2008). The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro. Cerebral cortex (New York, N.Y. : 1991). 18 [PubMed]

• Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen 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

Muscinelli SP, Gerstner W, Schwalger T. (2019). How single neuron properties shape chaotic dynamics and signal transmission in random neural networks. PLoS computational biology. 15 [PubMed]

• Single neuron properties shape chaos and signal transmission in random NNs (Muscinelli et al 2019) [Model]

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