Aktay Sinan, Sander Leonard M, Zochowski Michal
bioRxiv. 2024 Feb 28:2024.02.27.582261. doi: 10.1101/2024.02.27.582261.
Neuromodulatory processes in the brain can critically change signal processing on a cellular level leading to dramatic changes in network level reorganization. Here, we use coupled non-identical Kuramoto oscillators to investigate how changes in the shape of phase response curves from Type 1 to Type 2, mediated by varying ACh levels, coupled with activity dependent plasticity may alter network reorganization. We first show that when plasticity is absent, the Type 1 networks, as expected, exhibit asynchronous dynamics with oscillators of the highest natural frequency robustly evolving faster in terms of their phase dynamics. At the same time, the Type 2 networks synchronize, with oscillators locked so that the ones with higher natural frequency have a constant phase lead as compared to the ones with lower natural frequency. This relationship establishes a robust mapping between the frequency and oscillators' phases in the network, leading to structure/frequency mapping when plasticity is present. Further we show that while connection plasticity can produce stable synchrony (so called splay states) in Type 1 networks, the structure/frequency reorganization observed in Type 2 networks is not present.
大脑中的神经调节过程会在细胞水平上显著改变信号处理,从而导致网络水平的重组发生巨大变化。在此,我们使用耦合的非相同Kuramoto振子来研究由不同乙酰胆碱水平介导的从1型到2型相位响应曲线形状的变化,再加上活动依赖的可塑性,可能如何改变网络重组。我们首先表明,当不存在可塑性时,如预期的那样,1型网络呈现异步动力学,具有最高自然频率的振子在相位动力学方面稳健地演化得更快。同时,2型网络同步,振子锁定,使得具有较高自然频率的振子相比于具有较低自然频率的振子具有恒定的相位领先。这种关系在网络中的频率和振子相位之间建立了稳健的映射,当存在可塑性时会导致结构/频率映射。进一步我们表明,虽然连接可塑性可以在1型网络中产生稳定的同步(所谓的展开状态),但在2型网络中观察到的结构/频率重组并不存在。