Article
Chemistry, Multidisciplinary
Matthew Smart, Anton Zilman
Summary: Multicellular organisms consist of different tissues made up of various cell types. The coordination of gene expression among interacting cells during tissue self-organization is still not fully understood. In this study, we propose a generalized model that incorporates intracellular and intercellular gene interactions in tissue-like collectives. By mapping the transcriptional patterns of individual cells onto Hopfield networks, we represent cellular phenotypes and incorporate spatial cell-cell signaling on a square lattice. Our findings suggest that intercellular signaling can stabilize a small number of compositionally and spatially simple tissue types, providing a theoretical framework for understanding how cell collectives self-organize into distinct stable patterns.
CELL REPORTS PHYSICAL SCIENCE
(2023)
Article
Automation & Control Systems
Ying Cui, Luyang Yu, Yurong Liu, Wenbing Zhang, Fawaz E. Alsaadi
Summary: This paper investigates the non-fragile state estimation problem for a class of continuous-time delayed complex networks. A dynamic event-triggering mechanism is applied to improve resource utilization efficiency and gain matrices of the estimator are computed based on certain matrix inequalities to ensure robustly exponential boundedness for estimation error dynamics. An illustrative simulation is presented to demonstrate the validity of the proposed non-fragile estimator.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Optics
Yanan Han, Shuiying Xiang, Ziwei Song, Shuang Gao, Yahui Zhang, Xingxing Guo, Yue Hao
Summary: This study proposes a method using the collective synchronization of coupled photonic spiking neurons for noisy image segmentation and demonstrates its effectiveness through numerical simulations. The work provides new insights into the application of collective dynamics in large-scale photonic networks and opens up possibilities for ultra-high speed image processing.
Article
Optics
Yanan Han, Shuiying Xiang, Ziwei Song, Shuang Gao, Yahui Zhang, Xingxing Guo, Yue Hao
Summary: This paper introduces a method for noisy image segmentation using the collective synchronization of coupled photonic spiking neurons. The effectiveness of this method is demonstrated through numerical simulations, showing its potential application in large-scale photonic networks.
Article
Automation & Control Systems
Ning Zhang, Shunjie Huang, Wenxue Li
Summary: This paper investigates the pth moment exponential stability of stochastic delayed systems, taking into account both semi-Markov jumps and stochastic mixed impulses. It establishes new impulsive differential inequalities with semi-Markov jumps and stochastic mixed impulses. By cleverly combining graph theory, stochastic analysis techniques, and the Lyapunov method, stability criteria for stochastic delayed semi-Markov jump systems with stochastic mixed impulses are proposed. Finally, the theoretical results are applied to oscillator systems, and the simulation results confirm the effectiveness of the theoretical findings.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Multidisciplinary Sciences
Guanyu Li, Ryan LeFebre, Alia Starman, Patrick Chappell, Andrew Mugler, Bo Sun
Summary: Coordinated responses to environmental stimuli are critical for multicellular organisms. In this study, the calcium dynamics of neuronal cells in response to cyclic ATP stimuli were investigated. It was found that neuronal cells self-organize into spatially decentralized and temporally stationary networks to support information transfer via gap junction channels. The connectivity of these networks is regulated by the temporal profile of the external stimuli.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Automation & Control Systems
Xiaonan Liu, Minghui Song, Yonggui Kao
Summary: This paper investigates the synchronization between two hyperbolic coupled networks (HCNs) with time-varying delays using aperiodically intermittent pinning control (AIPC). Sufficient criteria for HCNs with internal delays only and with hybrid delays are obtained based on a Lyapunov function with a piecewise continuous function. It is found that HCNs with hybrid delays have a slower convergence speed compared to those with internal delays only. Additionally, two simulation results are presented to validate the theoretical findings.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Jinrong Yang, Guici Chen, Song Zhu, Shiping Wen, Junhao Hu
Summary: This paper investigates the synchronization problem of bidirectional associative memory memristive neural networks (BAMMNNs) with time-varying delays and proposes a new solution method. By designing special control strategies, fixed-time synchronization (FXTS) conditions for the drive-response systems are obtained based on Lyapunov function and inequality techniques. The settling time (ST) is estimated using the improved fixed-time stability lemma. Numerical simulation is conducted to verify the conclusions.
Article
Computer Science, Artificial Intelligence
B. R. R. Boaretto, C. Manchein, T. L. Prado, S. R. Lopes
Summary: Partial phase synchronization of neurons is fundamental for understanding complex brain behavior. Regulation of ion channel conductances is crucial for neuron synchronization process. Analysis of individual neuron dynamics can predict the synchronization process of the network.
Article
Computer Science, Artificial Intelligence
Jianying Xiao, Yongtao Li, Shiping Wen
Summary: This paper introduces relaxed criteria for synchronization and stability of fractional-order neural networks, presents a new inequality with quadratic terms, and constructs new Lyapunov-Krasovskii functionals and criteria for the studied systems. Two numerical simulations are provided to demonstrate the effectiveness and improvement of the proposed relaxed criteria.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Mathematics, Applied
A. Ruiz-Silva
Summary: This paper discusses the emergence of collective behaviors in a network of a-cells coupled through gap-junction channels, presenting a pancreatic islet structure with different levels of connection and proposing a heterogeneous islet model with different dynamics in compact units. The conditions for achieving synchronization in the model and the emergence of cluster synchronization in the islet are established using Lyapunov stability theory. Numerical simulations are presented to illustrate the theoretical results.
PHYSICA D-NONLINEAR PHENOMENA
(2021)
Article
Mathematics, Interdisciplinary Applications
Jing Huang, Jianxing Li, Linshan Bu, Honglei Xu
Summary: This paper investigates the state feedback stabilization problem for a class of impulsive linear time-varying systems over specified time intervals and piecewise quadratic domains (PQDs). Concepts related to finite-time stability and PQDs are given, along with computationally tractable stability conditions for control design. An illustrative example is presented to demonstrate the effectiveness of the designed state feedback control.
Article
Computer Science, Artificial Intelligence
Jianying Xiao, Jinde Cao, Jun Cheng, Shiping Wen, Ruimei Zhang, Shouming Zhong
Summary: This article focuses on the global synchronization and stability of fractional-order quaternion-valued neural networks, proposing multiple and flexible criteria based on the Lyapunov theory and new inequalities. The effectiveness of these criteria is demonstrated through numerical examples.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Jianying Xiao, Jun Cheng, Kaibo Shi, Ruimei Zhang
Summary: In this article, a general approach to the fixed-time synchronization problem of the general system of fractional-order multidimension-valued fuzzy memristive neural networks is investigated. The establishment of a new model allows for the analysis of various types of networks. By applying new general inequalities and lemmas, the article proposes the design of nonlinear controllers and flexible criteria. A numerical example is provided to demonstrate the theoretical results.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Engineering, Biomedical
Karli A. Gold, Biswajit Saha, Navaneeth Krishna Rajeeva Pandian, Brandon K. Walther, Jorge A. Palma, Javier Jo, John P. Cooke, Abhishek Jain, Akhilesh K. Gaharwar
Summary: The introduction of a new class of nanoengineered hydrogel-based cell-laden bioinks in 3D bioprinting shows promising potential for replicating the microenvironment of human vasculature, with high printability and cell protection. The ability to print anatomically accurate, multicellular blood vessels provides a valuable tool for modeling vascular function and pathophysiology, demonstrating thromboinflammatory responses similar to in vitro and in vivo models.
ADVANCED HEALTHCARE MATERIALS
(2021)
Article
Mathematics, Interdisciplinary Applications
Bo Li, Tian Huang
Summary: This paper proposes an approximate optimal strategy based on a piecewise parameterization and optimization (PPAO) method for solving optimization problems in stochastic control systems. The method obtains a piecewise parameter control by solving first-order differential equations, which simplifies the control form and ensures a small model error.
CHAOS SOLITONS & FRACTALS
(2024)
Article
Mathematics, Interdisciplinary Applications
Guram Mikaberidze, Sayantan Nag Chowdhury, Alan Hastings, Raissa M. D'Souza
Summary: This study explores the collective behavior of interacting entities, focusing on the co-evolution of diverse mobile agents in a heterogeneous environment network. Increasing agent density, introducing heterogeneity, and designing the network structure intelligently can promote agent cohesion.
CHAOS SOLITONS & FRACTALS
(2024)
Article
Mathematics, Interdisciplinary Applications
Gengxiang Wang, Yang Liu, Caishan Liu
Summary: This investigation studies the impact behavior of a contact body in a fluidic environment. A dissipated coefficient is introduced to describe the energy dissipation caused by hydrodynamic forces. A new fluid damping factor is derived to depict the coupling between liquid and solid, as well as the coupling between solid and solid. A new coefficient of restitution (CoR) is proposed to determine the actual physical impact. A new contact force model with a fluid damping factor tailored for immersed collision events is proposed.
CHAOS SOLITONS & FRACTALS
(2024)