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A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex

We developed a large-scale dynamical model of the macaque neocortex, which is based on recently acquired directed- and weighted-connectivity data from tract-tracing experiments, and which incorporates heterogeneity across areas. A hierarchy of timescales naturally emerges from this system: sensory a... Full description

Journal Title: Neuron 2015-10-21, Vol.88 (2), p.419-431
Main Author: Chaudhuri, Rishidev
Other Authors: Knoblauch, Kenneth , Gariel, Marie-Alice , Kennedy, Henry , Wang, Xiao-Jing
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: United States: Elsevier Inc
ID: ISSN: 0896-6273
Link: https://www.ncbi.nlm.nih.gov/pubmed/26439530
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recordid: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4630024
title: A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex
format: Article
creator:
  • Chaudhuri, Rishidev
  • Knoblauch, Kenneth
  • Gariel, Marie-Alice
  • Kennedy, Henry
  • Wang, Xiao-Jing
subjects:
  • Animals
  • Article
  • Electroencephalography
  • Electroencephalography - methods
  • Macaca
  • Magnetic Resonance Imaging - methods
  • Magnetoencephalography - methods
  • Models, Neurological
  • Neocortex - physiology
  • Nerve Net - physiology
  • Neurons
  • Neuroscience(all)
  • Primates
  • Stem cells
ispartof: Neuron, 2015-10-21, Vol.88 (2), p.419-431
description: We developed a large-scale dynamical model of the macaque neocortex, which is based on recently acquired directed- and weighted-connectivity data from tract-tracing experiments, and which incorporates heterogeneity across areas. A hierarchy of timescales naturally emerges from this system: sensory areas show brief, transient responses to input (appropriate for sensory processing), whereas association areas integrate inputs over time and exhibit persistent activity (suitable for decision-making and working memory). The model displays multiple temporal hierarchies, as evidenced by contrasting responses to visual versus somatosensory stimulation. Moreover, slower prefrontal and temporal areas have a disproportionate impact on global brain dynamics. These findings establish a circuit mechanism for “temporal receptive windows” that are progressively enlarged along the cortical hierarchy, suggest an extension of time integration in decision making from local to large circuits, and should prompt a re-evaluation of the analysis of functional connectivity (measured by fMRI or electroencephalography/magnetoencephalography) by taking into account inter-areal heterogeneity. •Large-scale model of the macaque cortex with a gradient of synaptic excitation•Sensory areas show fast responses while cognitive areas show slow integrative activity•Multiple temporal hierarchies in the same anatomical network•Functional connectivity analysis needs to incorporate inter-areal heterogeneity Chaudhuri et al. report a large-scale model of the macaque cortex incorporating quantitative anatomical data and inter-areal heterogeneity. This model gives rise to a hierarchy of timescales and suggests a revision of functional connectivity analysis of global brain dynamics.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0896-6273
fulltext: fulltext
issn:
  • 0896-6273
  • 1097-4199
url: Link


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subjectAnimals ; Article ; Electroencephalography ; Electroencephalography - methods ; Macaca ; Magnetic Resonance Imaging - methods ; Magnetoencephalography - methods ; Models, Neurological ; Neocortex - physiology ; Nerve Net - physiology ; Neurons ; Neuroscience(all) ; Primates ; Stem cells
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abstractWe developed a large-scale dynamical model of the macaque neocortex, which is based on recently acquired directed- and weighted-connectivity data from tract-tracing experiments, and which incorporates heterogeneity across areas. A hierarchy of timescales naturally emerges from this system: sensory areas show brief, transient responses to input (appropriate for sensory processing), whereas association areas integrate inputs over time and exhibit persistent activity (suitable for decision-making and working memory). The model displays multiple temporal hierarchies, as evidenced by contrasting responses to visual versus somatosensory stimulation. Moreover, slower prefrontal and temporal areas have a disproportionate impact on global brain dynamics. These findings establish a circuit mechanism for “temporal receptive windows” that are progressively enlarged along the cortical hierarchy, suggest an extension of time integration in decision making from local to large circuits, and should prompt a re-evaluation of the analysis of functional connectivity (measured by fMRI or electroencephalography/magnetoencephalography) by taking into account inter-areal heterogeneity. •Large-scale model of the macaque cortex with a gradient of synaptic excitation•Sensory areas show fast responses while cognitive areas show slow integrative activity•Multiple temporal hierarchies in the same anatomical network•Functional connectivity analysis needs to incorporate inter-areal heterogeneity Chaudhuri et al. report a large-scale model of the macaque cortex incorporating quantitative anatomical data and inter-areal heterogeneity. This model gives rise to a hierarchy of timescales and suggests a revision of functional connectivity analysis of global brain dynamics.
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