[PDF][PDF] A physical view of computational neurodynamics
J Ma, Z Yang, L Yang, J Tang - Journal of Zhejiang University …, 2019 - drive.google.com
The nervous system is made of a large number of neurons. Time-varying balance between
excitatory and inhibitory neurons is important to activate appropriate modes of electrical …
excitatory and inhibitory neurons is important to activate appropriate modes of electrical …
Minireview on signal exchange between nonlinear circuits and neurons via field coupling
C Wang, J Tang, J Ma - The European Physical Journal Special Topics, 2019 - Springer
Played as an important nonlinear electric device, memristor is often used to build a variety of
nonlinear circuits, which can produce a variety of modes in oscillation. Due to the memory …
nonlinear circuits, which can produce a variety of modes in oscillation. Due to the memory …
Fixed-time synchronization of coupled neural networks with discontinuous activation and mismatched parameters
This article is concerned with fixed-time synchronization of the nonlinearly coupled neural
networks with discontinuous activation and mismatched parameters. First, a novel lemma is …
networks with discontinuous activation and mismatched parameters. First, a novel lemma is …
Fixed-time synchronization of complex dynamical networks: A novel and economical mechanism
Fixed-time synchronization of complex networks is investigated in this article. First, a
completely novel lemma is introduced to prove the fixed-time stability of the equilibrium of a …
completely novel lemma is introduced to prove the fixed-time stability of the equilibrium of a …
Finite-time synchronization and energy consumption prediction for multilayer fractional-order networks
D Tong, B Ma, Q Chen, Y Wei… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The finite-time synchronization (FTS) of the prediction of the synchronization time and
energy consumption is discussed for multilayer fractional-order networks (MFONs). First of …
energy consumption is discussed for multilayer fractional-order networks (MFONs). First of …
A new SAIR model on complex networks for analysing the 2019 novel coronavirus (COVID-19)
Nowadays, the novel coronavirus (COVID-19) is spreading around the world and has
attracted extremely wide public attention. From the beginning of the outbreak to now, there …
attracted extremely wide public attention. From the beginning of the outbreak to now, there …
Fixed-Time Synchronization in the pth Moment for Time-Varying Delay Stochastic Multilayer Networks
Since the speed that the th moment of an output signal norm tends to 0 can be used to
measure the quality of the output signal, the stability of the th moment of complex networks …
measure the quality of the output signal, the stability of the th moment of complex networks …
Output discernibility of topological variations in linear dynamical networks
The conditions under which topological variations in networked linear dynamical systems
can be discerned from their outputs are investigated. The output-indiscernible space is …
can be discerned from their outputs are investigated. The output-indiscernible space is …
Fractional-order PD control at Hopf bifurcations in delayed fractional-order small-world networks
Bifurcation and control of fractional-order systems are still an outstanding problem. In this
paper, a novel delayed fractional-order model of small-world networks is introduced and …
paper, a novel delayed fractional-order model of small-world networks is introduced and …
Cooperative epidemic spreading on a two-layered interconnected network
This study is concerned with the dynamical behaviors of epidemic spreading over a two-
layered interconnected network. Three models in different levels are proposed to describe …
layered interconnected network. Three models in different levels are proposed to describe …