This article surveys the interdisciplinary research of neuroscience, network science, and
dynamic systems, with emphasis on the emergence of brain-inspired intelligence. To …

In this article, we focus on a topic of detecting unstable periodic orbits (UPOs) only based on
the time series observed from the nonlinear dynamical system whose explicit model is …

Increasing evidences have demonstrated the essentiality of many-body interactions in
modeling various systems in physics, biology, and social sciences. Control strategies are …

Dynamical modelling for neural systems with direct and indirect connections is to
understand how these connections contribute to neural dynamics. Despite recent findings …

Spiral waves are relatively common, yet fascinating, visually appealing, and important
phenomena in many nonlinear dynamical systems. The emergence of spiral waves in the …

Adaptive control and synchronization techniques have been extensively developed over the
years due to their ability to operate without prior analytical knowledge of the system …

Controlling complex dynamical systems has garnered significant attention within academic
circles in recent decades. While most existing works have focused on closed-loop control …

We present the use of modern machine learning approaches to suppress self-sustained
collective oscillations typically signaled by ensembles of degenerative neurons in the brain …

This article introduces an adaptive control scheme with a feedback delay, specifically
designed for controlling partial networks, to achieve desynchronization in a coupled network …

Every successful species invasion is facilitated by both ecological and evolutionary
mechanisms. The evolution of population's fitness related traits acts as functional …