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


See https://inm-6.github.io/multi-area-model/ for any updates.

Model Type: Realistic Network; Connectionist Network

Region(s) or Organism(s): Neocortex; Visual cortex

Cell Type(s): Abstract integrate-and-fire leaky neuron with exponential post-synaptic current

Model Concept(s): Spatio-temporal Activity Patterns; Activity Patterns; Connectivity matrix; Synchronization; Multiscale

Simulation Environment: NEST

Implementer(s): Schmidt, Maximilian [schmidt.maximilian at posteo.de]; Schuecker, Jannis ; van Albada, Sacha Jennifer [s.van.albada at fz-juelich.de]

References:

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]

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]

Schuecker J, Schmidt M, van Albada SJ, Diesmann M, Helias M. (2017). Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. PLoS computational biology. 13 [PubMed]


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