Homeostasis is indispensable to counteract the destabilizing effects of Hebbian plasticity. Although it is commonly assumed that homeostasis modulates synaptic strength, membrane excitability, and firing rates, its role at the neural circuit and network level is unknown. Here, we identify changes in higher-order network properties of freely behaving rodents during prolonged visual deprivation. Strikingly, our data reveal that functional pairwise correlations and their structure are subject to homeostatic regulation. Using a computational model, we demonstrate that the interplay of different plasticity and homeostatic mechanisms can capture the initial drop and delayed recovery of firing rates and correlations observed experimentally. Moreover, our model indicates that synaptic scaling is crucial for the recovery of correlations and network structure, while intrinsic plasticity is essential for the rebound of firing rates, suggesting that synaptic scaling and intrinsic plasticity can serve distinct functions in homeostatically regulating network dynamics.

稳态对于抵消赫布可塑性的不稳定影响是必不可少的。尽管通常认为稳态调节突触强度、膜兴奋性和放电率，但其在神经回路和网络水平上的作用尚不清楚。在这里，我们确定了自由行为的啮齿动物在长期视觉剥夺期间高阶网络特性的变化。引人注目的是，我们的数据表明，功能配对相关性及其结构受到稳态调节。使用计算模型，我们证明了不同可塑性和稳态机制的相互作用可以捕获实验观察到的放电率和相关性的初始下降和延迟恢复。此外，我们的模型表明，突触缩放对于相关性和网络结构的恢复至关重要，而内在可塑性对于放电率的反弹至关重要，这表明突触缩放和内在可塑性可以在稳态调节网络动力学中发挥不同的作用。