Coupled oscillators are highly complex dynamical systems, and it is an intriguing concept to
use this oscillator dynamics for computation. The idea is not new, but is currently the subject …

Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

This article concentrates on the adaptive neural control approach of-link flexible-joint
electrically driven robots. The presented control method only needs to know the position and …

In recent years, artificial neural networks have become the flagship algorithm of artificial
intelligence. In these systems, neuron activation functions are static, and computing is …

The emergence of synchronization in a network of coupled oscillators is a fascinating
subject of multidisciplinary research. This survey reviews the vast literature on the theory …

Strongly correlated phases exhibit collective carrier dynamics that if properly harnessed can
enable novel functionalities and applications. In this article, we investigate the phenomenon …

Spin-torque nano-oscillators can emulate neurons at the nanoscale. Recent works show that
the non-linearity of their oscillation amplitude can be leveraged to achieve waveform …

This paper presents a class of state-dependent switched neural networks with inertial items
and distributed delays. Several new results are derived to ensure the exponential …

The diverse and fascinating properties of transition metal oxides stem from the strongly
correlated electronic degrees of freedom; the scientific challenge and range of possible …

In this paper, a class of fuzzy inertial complex-valued neural networks with state-dependent
coefficients and mixed delays is considered. We construct the model of fuzzy inertial …