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

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Accession:262457
See https://inm-6.github.io/multi-area-model/ for any updates.
References:
1 . Schmidt M, Bakker R, Shen K, Bezgin G, Diesmann M, van Albada SJ (2018) A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS Comput Biol 14:e1006359 [PubMed]
2 . Schmidt M, Bakker R, Hilgetag CC, Diesmann M, van Albada SJ (2018) Multi-scale account of the network structure of macaque visual cortex. Brain Struct Funct 223:1409-1435 [PubMed]
3 . Schuecker J, Schmidt M, van Albada SJ, Diesmann M, Helias M (2017) Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. PLoS Comput Biol 13:e1005179 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Connectionist Network;
Brain Region(s)/Organism: Neocortex; Visual cortex;
Cell Type(s): Abstract integrate-and-fire leaky neuron with exponential post-synaptic current;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEST;
Model Concept(s): Spatio-temporal Activity Patterns; Activity Patterns; Connectivity matrix; Synchronization; Multiscale;
Implementer(s): Schmidt, Maximilian [schmidt.maximilian at posteo.de]; Schuecker, Jannis ; van Albada, Sacha Jennifer [s.van.albada at fz-juelich.de];
## Figures of Schmidt M, Bakker R, Hilgetag C-C, Diesmann M and van Albada SJ: "Multi-scale account of the network structure of macaque visual cortex"

This folder contains the scripts to reproduce all figures of Schmidt M, Bakker R, Hilgetag C-C, Diesmann M and van Albada SJ: "Multi-scale account of the network structure of macaque visual cortex", Brain Structure and Function (2018), 223:1409 [https://doi.org/10.1007/s00429-017-1554-4](https://doi.org/10.1007/s00429-017-1554-4)

![Model overview](../../model_construction.png)

Please note that the placement of areas in Figure 7 will deviate from the published figure, because their location depends on the force-directed algorithm implemented in `igraph` and `python-igraph` does not allow manual setting of the random seed for the algorithm. This is a mere visual issue and does not affect the scientific content.

Please note that, since we currently cannot publish the data on Neuronal Densities, Figures 2 and 5 can currently not be produced and executing it throws an error.

Reproducing the figures requires some additional Python packages listed in `additional_requirements.txt`. They can be installed using pip by executing:

`pip install -r additional_requirements.txt`

To produce Figure 7, an installation of the `infomap` package is required. Please follow the instructions on the website http://www.mapequation.org/code.html.

If snakemake is installed, the figures can be produced by executing

`snakemake`

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