Fazli M, Bertram R. (2022). Network Properties of Electrically Coupled Bursting Pituitary Cells Frontiers in endocrinology. 13 [PubMed]

• Network dynamics of electrically coupled pituitary cells (Fazli and Bertram, 2022) [Model]

Gabbiani F, Cox SJ. (2010). Mathematics for Neuroscientists.

• Mathematics for Neuroscientists (Gabbiani and Cox 2010) [Model]

Gal E et al. (2017). Rich cell-type-specific network topology in neocortical microcircuitry. Nature neuroscience. 20 [PubMed]

• The neocortical microcircuit collaboration portal (Markram et al. 2015) [Model]

Gandolfi D et al. (2022). A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits Scientific reports. 12 [PubMed]

• Scaffold model of mouse CA1 hippocampus. (Gandolfi et al 2022) [Model]

Giacopelli G, Tegolo D, Spera E, Migliore M. (2021). On the structural connectivity of large-scale models of brain networks at cellular level. Scientific reports. 11 [PubMed]

• On the structural connectivity of large-scale models of brain networks (Giacopelli et al 2021) [Model]

Komarov M, Bazhenov M. (2016). Linking dynamics of the inhibitory network to the input structure. Journal of computational neuroscience. 41 [PubMed]

• Linking dynamics of the inhibitory network to the input structure (Komarov & Bazhenov 2016) [Model]

Neymotin SA, Lee H, Park E, Fenton AA, Lytton WW. (2011). Emergence of physiological oscillation frequencies in a computer model of neocortex. Frontiers in computational neuroscience. 5 [PubMed]

• Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011) [Model]

Pena RFO, Zaks MA, Roque AC. (2018). Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise : Spontaneous activity in networks with synaptic noise. Journal of computational neuroscience. 45 [PubMed]

• Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016) [Model]

Tomm C, Avermann M, Petersen C, Gerstner W, Vogels TP. (2014). Connection-type-specific biases make uniform random network models consistent with cortical recordings. Journal of neurophysiology. 112 [PubMed]