Bittner SR et al. (2017). Population activity structure of excitatory and inhibitory neurons. PloS one. 12 [PubMed]

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

Bloss EB et al. (2016). Structured Dendritic Inhibition Supports Branch-Selective Integration in CA1 Pyramidal Cells. Neuron. 89 [PubMed]

• CA1 pyramidal neuron synaptic integration (Bloss et al. 2016) [Model]

Brennan EKW, Sudhakar SK, Jedrasiak-Cape I, John TT, Ahmed OJ. (2020). Hyperexcitable Neurons Enable Precise and Persistent Information Encoding in the Superficial Retrosplenial Cortex. Cell reports. 30 [PubMed]

• Two populations of excitatory neurons in the superficial retrosplenial cortex (Brennan et al 2020) [Model]

Chrysanthidis N, Fiebig F, Lansner A. (2019). Introducing double bouquet cells into a modular cortical associative memory model Journal of Computational Neuroscience.

• An electrophysiological model of GABAergic double bouquet cells (Chrysanthidis et al. 2019) [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]

Gleeson P, Steuber V, Silver RA. (2007). neuroConstruct: a tool for modeling networks of neurons in 3D space. Neuron. 54 [PubMed]

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]

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]

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]

Konstantoudaki X, Papoutsi A, Chalkiadaki K, Poirazi P, Sidiropoulou K. (2014). Modulatory effects of inhibition on persistent activity in a cortical microcircuit model. Frontiers in neural circuits. 8 [PubMed]

• Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014) [Model]

Lee SH et al. (2014). Parvalbumin-positive basket cells differentiate among hippocampal pyramidal cells. Neuron. 82 [PubMed]

• Parvalbumin-positive basket cells differentiate among hippocampal pyramidal cells (Lee et al. 2014) [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]

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]

Reimann MW, Horlemann AL, Ramaswamy S, Muller EB, Markram H. (2017). Morphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity. Cerebral cortex (New York, N.Y. : 1991). 27 [PubMed]

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

Sussillo D, Toyoizumi T, Maass W. (2007). Self-tuning of neural circuits through short-term synaptic plasticity. Journal of neurophysiology. 97 [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]