Arkhipov A et al. (2018). Visual physiology of the layer 4 cortical circuit in silico. PLoS computational biology. 14 [PubMed]

• Visual physiology of the layer 4 cortical circuit in silico (Arkhipov et al 2018) [Model]

Dyhrfjeld-Johnsen J et al. (2007). Topological determinants of epileptogenesis in large-scale structural and functional models of the dentate gyrus derived from experimental data. Journal of neurophysiology. 97 [PubMed]

• Dentate gyrus (Morgan et al. 2007, 2008, Santhakumar et al. 2005, Dyhrfjeld-Johnsen et al. 2007) [Model]

Hass J, Hertäg L, Durstewitz D. (2016). A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity. PLoS computational biology. 12 [PubMed]

• A detailed data-driven network model of prefrontal cortex (Hass et al 2016) [Model]

Hay E, Segev I. (2015). Dendritic Excitability and Gain Control in Recurrent Cortical Microcircuits. Cerebral cortex (New York, N.Y. : 1991). 25 [PubMed]

• Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015) [Model]
• Layer V pyramidal cell model with reduced morphology (Mäki-Marttunen et al 2018) [Model]

Hooks BM et al. (2011). Laminar analysis of excitatory local circuits in vibrissal motor and sensory cortical areas. PLoS biology. 9 [PubMed]

• Laminar analysis of excitatory circuits in vibrissal motor and sensory cortex (Hooks et al. 2011) [Model]

King PD, Zylberberg J, DeWeese MR. (2013). Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of V1. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

• Inhibitory cells enable sparse coding in V1 model (King et al. 2013) [Model]

Kitano K, Fukai T. (2007). Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies. Journal of computational neuroscience. 23 [PubMed]

Kubota Y et al. (2015). Functional effects of distinct innervation styles of pyramidal cells by fast spiking cortical interneurons. eLife. 4 [PubMed]

• A Layer V CCS type pyramidal cell, inhibitory synapse current conduction (Kubota Y et al., 2015) [Model]

Litwin-Kumar A, Doiron B. (2012). Slow dynamics and high variability in balanced cortical networks with clustered connections. Nature neuroscience. 15 [PubMed]

• Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017) [Model]

Morgan RJ, Santhakumar V, Soltesz I. (2007). Modeling the dentate gyrus. Progress in brain research. 163 [PubMed]

• Dentate gyrus (Morgan et al. 2007, 2008, Santhakumar et al. 2005, Dyhrfjeld-Johnsen et al. 2007) [Model]

Morgan RJ, Soltesz I. (2008). Nonrandom connectivity of the epileptic dentate gyrus predicts a major role for neuronal hubs in seizures. Proceedings of the National Academy of Sciences of the United States of America. 105 [PubMed]

• Dentate gyrus (Morgan et al. 2007, 2008, Santhakumar et al. 2005, Dyhrfjeld-Johnsen et al. 2007) [Model]

Mäki-Marttunen T, Aćimović J, Ruohonen K, Linne ML. (2013). Structure-dynamics relationships in bursting neuronal networks revealed using a prediction framework. PloS one. 8 [PubMed]

• Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013) [Model]

Papoutsi A, Sidiropoulou K, Cutsuridis V, Poirazi P. (2013). Induction and modulation of persistent activity in a layer V PFC microcircuit model. Frontiers in neural circuits. 7 [PubMed]

• L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013) [Model]

Papoutsi A, Sidiropoulou K, Poirazi P. (2014). Dendritic nonlinearities reduce network size requirements and mediate ON and OFF states of persistent activity in a PFC microcircuit model. PLoS computational biology. 10 [PubMed]

• L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013) [Model]

Potjans TC, Diesmann M. (2014). The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cerebral cortex (New York, N.Y. : 1991). 24 [PubMed]

• A full-scale cortical microcircuit spiking network model (Shimoura et al 2018) [Model]

Schmidt M et al. (2018). A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS computational biology. 14 [PubMed]

• Multi-area layer-resolved spiking network model of resting-state dynamics in macaque visual cortex [Model]

Teramae JN, Fukai T. (2007). Local cortical circuit model inferred from power-law distributed neuronal avalanches. Journal of computational neuroscience. 22 [PubMed]

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]