Journal Article

FZJ-2018-05048

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas

Schmidt, M. ; Bakker, R.FZJ* ; Shen, K. ; Bezgin, G. ; Diesmann, M.FZJ* ; van Albada, S. J. (Corresponding author)FZJ*

2018
Public Library of Science San Francisco, Calif.

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Please use a persistent id in citations: http://hdl.handle.net/2128/20109  doi:10.1371/journal.pcbi.1006359

Abstract: 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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Contributing Institute(s):

1. Computational and Systems Neuroscience (INM-6)
2. Jara-Institut Brain structure-function relationships (INM-10)
3. Theoretical Neuroscience (IAS-6)

Research Program(s):

1. 571 - Connectivity and Activity (POF3-571) (POF3-571)
2. 574 - Theory, modelling and simulation (POF3-574) (POF3-574)
3. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
4. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)
5. HBP - The Human Brain Project (604102) (604102)
6. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)
7. Brain-Scale Simulations (jinb33_20121101) (jinb33_20121101)
8. SPP 2041 347572269 - Integration von Multiskalen-Konnektivität und Gehirnarchitektur in einem supercomputergestützten Modell der menschlichen Großhirnrinde (347572269) (347572269)
9. BRAINSCALES - Brain-inspired multiscale computation in neuromorphic hybrid systems (269921) (269921)
10. HBP - Human Brain Project (284941) (284941)

Appears in the scientific report 2018

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Database coverage:
; ; ; ; BIOSIS Previews ; DOAJ Seal ; Ebsco Academic Search ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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