Staff View: A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas

This title appears in the Scientific Report : 2018

A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas

Cortical activity has distinct features across scales, from the spiking statistics of individual cells to global resting-state networks. We here describe the first full-density multi-area spiking network model of cortex, using macaque visual cortex as a test system. The model represents each area by...

Personal Name(s):	Schmidt, Maximilian
	Bakker, Rembrandt / Shen, Kelly / Bezgin, Gleb / Diesmann, Markus / van Albada, Sacha Jennifer (Corresponding author)
Contributing Institute:	Computational and Systems Neuroscience; INM-6 Theoretical Neuroscience; IAS-6 Jara-Institut Brain structure-function relationships; INM-10
Published in:	PLoS Computational Biology, 14 (2018) 10, S. e1006359 -
Imprint:	San Francisco, Calif. Public Library of Science 2018
DOI:	10.1371/journal.pcbi.1006359
PubMed ID:	30335761
Document Type:	Journal Article
Research Program:	Brain-inspired multiscale computation in neuromorphic hybrid systems Heterogenität von Zytoarchitektur, Chemoarchitektur und Konnektivität in einem großskaligen Computermodell der menschlichen Großhirnrinde Brain-Scale Simulations Supercomputing and Modelling for the Human Brain The Human Brain Project Human Brain Project Human Brain Project Specific Grant Agreement 1 Human Brain Project Specific Grant Agreement 2 Theory, modelling and simulation Connectivity and Activity
Link:	Get full text Get full text OpenAccess OpenAccess
	Publikationsportal JuSER

Please use the identifier: http://hdl.handle.net/2128/20109 in citations.
Please use the identifier: http://dx.doi.org/10.1371/journal.pcbi.1006359 in citations.


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245			\|a A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas
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520			\|a Cortical activity has distinct features across scales, from the spiking statistics of individual cells to global resting-state networks. We here describe the first full-density multi-area spiking network model of cortex, using macaque visual cortex as a test system. The model represents each area by a microcircuit with area-specific architecture and features layer- and population-resolved connectivity between areas. Simulations reveal a structured asynchronous irregular ground state. In a metastable regime, the network reproduces spiking statistics from electrophysiological recordings and cortico-cortical interaction patterns in fMRI functional connectivity under resting-state conditions. Stable inter-area propagation is supported by cortico-cortical synapses that are moderately strong onto excitatory neurons and stronger onto inhibitory neurons. Causal interactions depend on both cortical structure and the dynamical state of populations. Activity propagates mainly in the feedback direction, similar to experimental results associated with visual imagery and sleep. The model unifies local and large-scale accounts of cortex, and clarifies how the detailed connectivity of cortex shapes its dynamics on multiple scales. Based on our simulations, we hypothesize that in the spontaneous condition the brain operates in a metastable regime where cortico-cortical projections target excitatory and inhibitory populations in a balanced manner that produces substantial inter-area interactions while maintaining global stability.
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