Zaccariello Roberto, Herrmann Hans J, Sarracino Alessandro, Zapperi Stefano, de Arcangelis Lucilla
University of Campania "Luigi Vanvitelli", Department of Mathematics & Physics, 81100 Caserta, Italy.
PMMH, ESPCI, 7 quai St. Bernard, Paris 75005, France.
Phys Rev E. 2025 Feb;111(2-1):024133. doi: 10.1103/PhysRevE.111.024133.
In the last twenty years neuronal avalanches have been deeply investigated, both experimentally and numerically, also framing the results in the context of the avalanche scaling theory. In particular the avalanche shape has recently received a wide attention, also because the existence of a universal shape is an indication of the brain acting at a critical point. Within this scope, the detection of the shape asymmetry and the understanding of the mechanisms leading to it can provide useful insights into brain activity. Experimental data evidence, either symmetric or leftward asymmetry in the shape, results are not confirmed by numerical studies. Here we analyze the role of inhibition, connectivity range, and short term plasticity in determining the avalanche shape in an integrate and fire model. Results indicate that, not only the physiological fraction of inhibitory neurons is crucial to observe leftward asymmetry, but also the different synaptic recovery rates between excitatory and inhibitory neurons, confirming the importance of a dynamic balance between excitation and inhibition in brain activity.
在过去二十年里,神经元雪崩现象在实验和数值模拟方面都得到了深入研究,并且还在雪崩标度理论的背景下对结果进行了阐述。特别是,雪崩形状最近受到了广泛关注,这也是因为存在通用形状表明大脑处于临界状态。在此范围内,检测形状不对称性以及理解导致这种不对称性的机制,可以为大脑活动提供有用的见解。实验数据表明,形状要么对称,要么向左不对称,但数值研究并未证实这些结果。在这里,我们分析了抑制、连接范围和短期可塑性在积分发放模型中确定雪崩形状时所起的作用。结果表明,不仅抑制性神经元的生理比例对于观察向左不对称至关重要,兴奋性和抑制性神经元之间不同的突触恢复率也很关键,这证实了大脑活动中兴奋与抑制之间动态平衡的重要性。