TY - JOUR
T1 - A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex
AU - Chaudhuri, Rishidev
AU - Knoblauch, Kenneth
AU - Gariel, Marie Alice
AU - Kennedy, Henry
AU - Wang, Xiao Jing
N1 - Funding Information:
We thank Nikola Markov and John Murray for discussions. This work was supported by ONR grant N00014-13-1-0297 and NIH grant R01MH062349 (to X.-J.W.) and by CORE-NETS (ANR-11-BSV4-501) and LabEx CORTEX (ANR-11-LABX-0042) of Université de Lyon, program “Investissements d’Avenir” (ANR-11-IDEX-0007) operated by the French National Research Agency (to H.K.). Connectivity data are available at http://core-nets.org/ .
Publisher Copyright:
© 2015 Elsevier Inc.
PY - 2015/10/21
Y1 - 2015/10/21
N2 - 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. 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.
AB - 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. 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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U2 - 10.1016/j.neuron.2015.09.008
DO - 10.1016/j.neuron.2015.09.008
M3 - Article
C2 - 26439530
AN - SCOPUS:84944884751
SN - 0896-6273
VL - 88
SP - 419
EP - 431
JO - Neuron
JF - Neuron
IS - 2
ER -