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一项大规模神经元网络建模研究:刺激大小通过长程连接调节初级视觉皮层的伽马振荡。

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

机构信息

College of Information Science and Technology, Donghua University, Shanghai, China.

Department of Dynamics and Control, Beihang University, Beijing, China.

出版信息

Eur J Neurosci. 2024 Aug;60(3):4224-4243. doi: 10.1111/ejn.16429. Epub 2024 May 29.

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.

摘要

刺激大小对神经元发放活动的调制是初级视觉皮层的基本特性。大量的生物学实验表明,刺激大小的调制受到不同时空尺度上多种因素的影响,但确切的途径和机制仍不完全清楚。在本文中,我们建立了一个具有 2/3 层的大规模初级视觉皮层神经元网络模型,研究了伽马振荡特性如何受到刺激大小的调制,特别是当考虑到真实神经元特性和突触连接的空间分布时,长程连接如何影响调制。结果表明,长程水平突触连接足以产生发放率和伽马振荡的维度调制。特别是,随着光栅刺激大小的增加,发放率先增加后减小,伽马振荡的峰值频率减小,频谱功率增加。这些与生物学实验观察结果一致。此外,我们通过分析神经元发放活动和突触电流波动,详细解释了长程连接的数量和空间分布如何影响伽马振荡的大小调制。我们的结果为初级视觉皮层中伽马振荡的大小调制提供了一种机制解释,并揭示了长程连接所起的重要而独特的作用,这有助于深入理解伽马振荡在视觉皮层中的认知功能。

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