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• Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012) [Model]

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• Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009) [Model]

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

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• 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]

Huang C, Zeldenrust F, Celikel T. (2022). Cortical Representation of Touch in Silico Neuroinformatics. 20 [PubMed]

• Realistic barrel cortical column - Matlab (Huang et al., 2022) [Model]
• Realistic barrel cortical column - NetPyNE (Huang et al., 2022) [Model]

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

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• Perturbation sensitivity implies high noise and suggests rate coding in cortex (London et al. 2010) [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]

Neymotin SA, Chadderdon GL, Kerr CC, Francis JT, Lytton WW. (2013). Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex. Neural computation. 25 [PubMed]

• Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin 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]

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, Bakker R, Hilgetag CC, Diesmann M, van Albada SJ. (2018). Multi-scale account of the network structure of macaque visual cortex. Brain structure & function. 223 [PubMed]

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

Weiler N, Wood L, Yu J, Solla SA, Shepherd GM. (2008). Top-down laminar organization of the excitatory network in motor cortex. Nature neuroscience. 11 [PubMed]

• Laminar connectivity matrix simulation (Weiler et al 2008) [Model]