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Inhibitory connectivity defines the realm of excitatory plasticity.抑制性连接定义了兴奋性可塑性的范围。
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Bistability and up/down state alternations in inhibition-dominated randomly connected networks of LIF neurons.LIF 神经元抑制主导的随机连接网络中的双稳性和上下状态交替。
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Recurrently connected and localized neuronal communities initiate coordinated spontaneous activity in neuronal networks.反复连接且局部化的神经元群落会引发神经网络中协调性的自发活动。
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Identification of neuronal network properties from the spectral analysis of calcium imaging signals in neuronal cultures.从神经元培养物钙成像信号的频谱分析中鉴定神经网络特性。
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Cortical balance of excitation and inhibition is regulated by the rate of synaptic activity.皮质兴奋与抑制的平衡受突触活动速率的调节。
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神经元回路通过调整连接数量来克服兴奋和抑制之间的失衡。

Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers.

机构信息

Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 7610001, Israel.

Department of Computer Science, University of Tübingen, 72076 Tübingen, Germany.

出版信息

Proc Natl Acad Sci U S A. 2021 Mar 23;118(12). doi: 10.1073/pnas.2018459118.

DOI:10.1073/pnas.2018459118
PMID:33723048
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8000583/
Abstract

The interplay between excitation and inhibition is crucial for neuronal circuitry in the brain. Inhibitory cell fractions in the neocortex and hippocampus are typically maintained at 15 to 30%, which is assumed to be important for stable dynamics. We have studied systematically the role of precisely controlled excitatory/inhibitory (E/I) cellular ratios on network activity using mice hippocampal cultures. Surprisingly, networks with varying E/I ratios maintain stable bursting dynamics. Interburst intervals remain constant for most ratios, except in the extremes of 0 to 10% and 90 to 100% inhibitory cells. Single-cell recordings and modeling suggest that networks adapt to chronic alterations of E/I compositions by balancing E/I connectivity. Gradual blockade of inhibition substantiates the agreement between the model and experiment and defines its limits. Combining measurements of population and single-cell activity with theoretical modeling, we provide a clearer picture of how E/I balance is preserved and where it fails in living neuronal networks.

摘要

兴奋与抑制的相互作用对于大脑中的神经元回路至关重要。新皮层和海马体中的抑制性细胞分数通常维持在 15%至 30%,这被认为对于稳定的动力学很重要。我们使用小鼠海马培养物系统地研究了精确控制的兴奋/抑制(E/I)细胞比率对网络活动的作用。令人惊讶的是,具有不同 E/I 比率的网络保持稳定的爆发动力学。除了 E/I 细胞比例为 0 到 10%和 90 到 100%的极端情况外,大多数比率的爆发间隔保持不变。单细胞记录和建模表明,网络通过平衡 E/I 连接来适应 E/I 组成的慢性变化。抑制的逐渐阻断证实了模型和实验之间的一致性,并确定了其限制。将群体和单细胞活动的测量与理论建模相结合,我们提供了更清晰的图景,说明 E/I 平衡是如何被维持的,以及在活体神经元网络中它在哪里失效。