Dynamics of coupled neural populations: The role of synaptic dynamics [0.03%]
耦合神经元群体的动力学行为：突触动力学的作用
Ana Mayora-Cebollero,Roberto Barrio,Lei Li et al.
Ana Mayora-Cebollero et al.
In this paper, we study the dynamics of two recent mean-field models representing the behavior of heterogeneous all-to-all coupled quadratic integrate-and-fire neural networks. The main difference between both models is that one considers t...
Co-evolution of behavioral attitudes and disease transmission on multilayer simplicial complexes [0.03%]
多层单纯复形上的行为态度与疾病传播的协同进化
Fanshu Fang,Jing Ma,Liubov Tupikina et al.
Fanshu Fang et al.
As global public health emergencies become more frequent, the role of higher-order interactions between individuals and environmental media in disease transmission has attracted significant attention. This study proposes a multilayer higher...
A simulation-supported thought experiment for measuring low-dimensional chaotic systems subjected to parameter drift [0.03%]
基于仿真的参数漂移低维混沌系统测控思辨试验
M Herein,T Tél,T Haszpra
M Herein
We argue that a physics experiment with systems involving drifting parameters requires a paradigm shift: the measured signal, a curve, should be compared with a band resulting from simulations. Based on earlier theoretical results, an accur...
Inertia-induced mechanism for giant enhancement of transport generated by active fluctuations [0.03%]
惰性引起的机制：由主动涨落产生的输运巨增强现象
K Białas,J Spiechowicz
K Białas
Active matter is one of the hottest topics in physics nowadays. As a prototype of living systems operating in viscous environments, it has usually been modeled in terms of the overdamped dynamics. Recently, active matter in the underdamped ...
Ming-Wei Wu,Xing-Qin Qi,Zhu-Lou Cao
Ming-Wei Wu
The network dismantling problem focuses on finding and removing the minimum set of vertices to decrease network's connectivity significantly. Spectral-based methods have attracted considerable attention. However, these methods tend to divid...
Improving the noise estimation of latent neural stochastic differential equations [0.03%]
改进潜在神经随机微分方程的噪声估计
L Heck,M Gelbrecht,M T Schaub et al.
L Heck et al.
Latent neural stochastic differential equations (SDEs) have recently emerged as a promising approach for learning generative models from stochastic time series data. However, they systematically underestimate the noise level inherent in suc...
The impact of feedbacks on evolutionary game dynamics in structured populations [0.03%]
反馈对结构化种群中进化博弈动力学的影响
Jiaquan Huang,Yuying Zhu,Dawei Zhao et al.
Jiaquan Huang et al.
In this paper, we investigate how the structure of a lattice network influences the outcomes of an evolutionary game that includes environmental feedback. Specifically, we study how the number of neighbors each individual has affects popula...
Rogue waves: Theory, methods, and applications-30 years after the Draupner wave [0.03%]
rogue波：理论、方法及应用——从Draupner巨浪发现30年以后
Zhenya Yan,Boris A Malomed,Kwok Wing Chow et al.
Zhenya Yan et al.
Rogue waves (RWs) are unexpectedly high-amplitude, transient displacements on top of an otherwise tranquil background. While oceanic RWs were known to sailors for nearly a century, the first scientific measurements occurred at an offshore p...
Approximating the bifurcation diagram of weakly and strongly coupled leading-following systems [0.03%]
弱耦合和强耦合跟随领导系统的分岔图的逼近
S Sinet,R Bastiaansen,C Kuehn et al.
S Sinet et al.
The potential of dynamical systems to undergo bifurcation-induced tipping has received much attention recently in climate and ecology research. In particular, such systems can form an intricate interacting network, creating the possibility ...
A bounded confidence model to predict how group work affects student math anxiety [0.03%]
一个有界自信模型，用于预测团队作业如何影响学生数学焦虑感
Matthew S Mizuhara,Katherine Toms,Maya Williams
Matthew S Mizuhara
Math anxiety is negatively correlated with student performance and can result in avoidance of further math/STEM (science, technology, engineering, and mathematics) classes and careers. Cooperative learning (i.e., group work) is a proven str...