Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 7610001, Israel.
Department of Computer Science, University of Tübingen, 72076 Tübingen, Germany.
Proc Natl Acad Sci U S A. 2021 Mar 23;118(12). doi: 10.1073/pnas.2018459118.
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.
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。