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

2015/11/30 by Maximilian Schmidt, Rembrandt Bakker, Kelly Shen +4 · 2 citations
Biochemistry, Genetics and Molecular Biology · Engineering · Neuroscience · Psychology · #Advanced Memory and Neural Computing #Computer science #Cortex (anatomy) #Excitatory postsynaptic potential #Functional Brain Connectivity Studies #Inhibitory postsynaptic potential #Macaque #Metastability #Neural dynamics and brain function #Neuroscience #Physics #Population #Psychology #Resting state fMRI #Visual cortex #q-bio.NC

paper · pdf · doi:10.1371/journal.pcbi.1006359

arxiv created 2016/04/15 · openalex created_date 2016/06/24 · openalex publication_date 2018/10/18 · arxiv updated 2018/10/23 · openalex updated_date 2026/08/06

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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