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Table 1. 
Overview of circuit models and connectomes analyzed in this study
NameDescription
NMC-neurons 31,346 neuron models of a neocortical microcircuit (Markram et al., 2015). 
AC1 Apposition-based connectome for NMC-neurons (Markram et al., 2015).a 
NMC-model Combination of NMC-neurons and AC1 (Markram et al., 2015). 
AC2–7 Apposition-based connectomes of statistical variants of NMC-model (Markram et al., 2015).a 
CC1–5 Cloud-based alternatives to AC1 (Reimann, Horlemann, et al., 2017). 
Cloud-model Combination of NMC-neurons and CC1 (excitatory connections) and AC1 (inhibitory connections). 
CC1* Connectome of cloud-model (see above). 
NMC*-model NMC-model with axon path length shuffle and 0.12% exc. connection loss as in cloud-model. 
NameDescription
NMC-neurons 31,346 neuron models of a neocortical microcircuit (Markram et al., 2015). 
AC1 Apposition-based connectome for NMC-neurons (Markram et al., 2015).a 
NMC-model Combination of NMC-neurons and AC1 (Markram et al., 2015). 
AC2–7 Apposition-based connectomes of statistical variants of NMC-model (Markram et al., 2015).a 
CC1–5 Cloud-based alternatives to AC1 (Reimann, Horlemann, et al., 2017). 
Cloud-model Combination of NMC-neurons and CC1 (excitatory connections) and AC1 (inhibitory connections). 
CC1* Connectome of cloud-model (see above). 
NMC*-model NMC-model with axon path length shuffle and 0.12% exc. connection loss as in cloud-model. 
a

mc2_Column and mc[0, 1, 3-6]_Column respectively at bbp.epfl.ch/nmc-portal/downloads → AVERAGE.

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