Cavallari S, Panzeri S, Mazzoni A. (2014). Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks. Frontiers in neural circuits. 8 [PubMed]

• I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014) [Model]

Clopath C, Pedrosa V. (2017). The role of neuromodulators in cortical plasticity. A computational perspective. Front. Synaptic Neurosci.. 8

• A simple model of neuromodulatory state-dependent synaptic plasticity (Pedrosa and Clopath, 2016) [Model]

Hay E, Hill S, Schürmann F, Markram H, Segev I. (2011). Models of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties. PLoS computational biology. 7 [PubMed]

• L5b PC model constrained for BAC firing and perisomatic current step firing (Hay et al., 2011) [Model]
• Layer V pyramidal cell model with reduced morphology (Mäki-Marttunen et al 2018) [Model]
• Cortical Layer 5b pyr. cell with [Na+]i mechanisms, from Hay et al 2011 (Zylbertal et al 2017) [Model]

Keane A, Henderson JA, Gong P. (2018). Dynamical patterns underlying response properties of cortical circuits. Journal of the Royal Society, Interface. 15 [PubMed]

• Dynamical patterns underlying response properties of cortical circuits (Keane et al 2018) [Model]

Kim JK, Fiorillo CD. (2017). Theory of optimal balance predicts and explains the amplitude and decay time of synaptic inhibition. Nature communications. 8 [PubMed]

• Optimal balance predicts/explains amplitude and decay time of iPSGs (Kim & Fiorillo 2017) [Model]

Markram H et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 163 [PubMed]

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

McFarland JM, Cui Y, Butts DA. (2013). Inferring nonlinear neuronal computation based on physiologically plausible inputs. PLoS computational biology. 9 [PubMed]

• Nonlinear neuronal computation based on physiologically plausible inputs (McFarland et al. 2013) [Model]

Tan AY, Andoni S, Priebe NJ. (2013). A spontaneous state of weakly correlated synaptic excitation and inhibition in visual cortex. Neuroscience. 247 [PubMed]

• Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013) [Model]

Vogels TP, Sprekeler H, Zenke F, Clopath C, Gerstner W. (2011). Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science (New York, N.Y.). 334 [PubMed]

• Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011) [Model]