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A large‐scale neuronal network modelling study: Stimulus size modulates gamma oscillations in the primary visual cortex by long‐range connections.

Authors :
Yang, Hao
Han, Fang
Wang, Qingyun
Source :
European Journal of Neuroscience; Aug2024, Vol. 60 Issue 3, p4224-4243, 20p
Publication Year :
2024

Abstract

Stimulus size modulation of neuronal firing activity is a fundamental property of the primary visual cortex. Numerous biological experiments have shown that stimulus size modulation is affected by multiple factors at different spatiotemporal scales, but the exact pathways and mechanisms remain incompletely understood. In this paper, we establish a large‐scale neuronal network model of primary visual cortex with layer 2/3 to study how gamma oscillation properties are modulated by stimulus size and especially how long‐range connections affect the modulation as realistic neuronal properties and spatial distributions of synaptic connections are considered. It is shown that long‐range horizontal synaptic connections are sufficient to produce dimensional modulation of firing rates and gamma oscillations. In particular, with increasing grating stimulus size, the firing rate increases and then decreases, the peak frequency of gamma oscillations decreases and the spectral power increases. These are consistent with biological experimental observations. Furthermore, we explain in detail how the number and spatial distribution of long‐range connections affect the size modulation of gamma oscillations by using the analysis of neuronal firing activity and synaptic current fluctuations. Our results provide a mechanism explanation for size modulation of gamma oscillations in the primary visual cortex and reveal the important and unique role played by long‐range connections, which contributes to a deeper understanding of the cognitive function of gamma oscillations in visual cortex. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0953816X
Volume :
60
Issue :
3
Database :
Complementary Index
Journal :
European Journal of Neuroscience
Publication Type :
Academic Journal
Accession number :
178854265
Full Text :
https://doi.org/10.1111/ejn.16429