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Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics
We developed a detailed model of macaque auditory thalamocortical circuits, including primary auditory cortex (A1), medial geniculate body (MGB), and thalamic reticular nucleus, utilizing the NEURON simulator and NetPyNE tool. The A1 model simulates a cortical column with over 12,000 neurons and 25...
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Published in: | Cell reports (Cambridge) 2023-11, Vol.42 (11), p.113378-113378, Article 113378 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We developed a detailed model of macaque auditory thalamocortical circuits, including primary auditory cortex (A1), medial geniculate body (MGB), and thalamic reticular nucleus, utilizing the NEURON simulator and NetPyNE tool. The A1 model simulates a cortical column with over 12,000 neurons and 25 million synapses, incorporating data on cell-type-specific neuron densities, morphology, and connectivity across six cortical layers. It is reciprocally connected to the MGB thalamus, which includes interneurons and core and matrix-layer-specific projections to A1. The model simulates multiscale measures, including physiological firing rates, local field potentials (LFPs), current source densities (CSDs), and electroencephalography (EEG) signals. Laminar CSD patterns, during spontaneous activity and in response to broadband noise stimulus trains, mirror experimental findings. Physiological oscillations emerge spontaneously across frequency bands comparable to those recorded in vivo. We elucidate population-specific contributions to observed oscillation events and relate them to firing and presynaptic input patterns. The model offers a quantitative theoretical framework to integrate and interpret experimental data and predict its underlying cellular and circuit mechanisms.
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•Model of auditory thalamocortical circuits integrates multiscale experimental data•Simulates physiological membrane voltages, firing rates, LFP/CSD, and EEG signals•LFP/CSD oscillation events across frequencies match spontaneous in vivo data•Predicts cellular and circuit mechanisms underlying LFP/CSD oscillation events
Dura-Bernal, Griffith, et al. developed a realistic computational model of macaque auditory thalamocortical circuits constrained by experimental data. Their model generates realistic physiological signals across scales, including voltages, spikes, LFP/CSD, and EEG. It reproduces in vivo spontaneous LFP/CSD oscillation events across frequencies and predicts their underlying cellular and circuit origins. |
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ISSN: | 2211-1247 2211-1247 |
DOI: | 10.1016/j.celrep.2023.113378 |