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• Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014) [Model]

Deitcher Y et al. (2017). Comprehensive Morpho-Electrotonic Analysis Shows 2 Distinct Classes of L2 and L3 Pyramidal Neurons in Human Temporal Cortex. Cerebral cortex (New York, N.Y. : 1991). 27 [PubMed]

• 2 Distinct Classes of L2 and L3 Pyramidal Neurons in Human Temporal Cortex (Deitcher et al 2017) [Model]

Dura-Bernal S et al. (2023). Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics. Cell reports. 42 [PubMed]

• Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics (Dura-Bernal et al., 2023) [Model]

Jercog D et al. (2017). UP-DOWN cortical dynamics reflect state transitions in a bistable network. eLife. 6 [PubMed]

• Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017) [Model]

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

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]

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]