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20032006
most citedHopf Bifurcation and Chaos in a Single Inertial Neuron Model with Time Delay

93 citations · 254 across the 7 of their papers we have counts for

collaborators

7 papers

nlin.CD2006★ 22 cited

Projective synchronization in fractional order chaotic systems and its control

Chunguang Li

The chaotic dynamics of fractional (non-integer) order systems have begun to attract much attention in recent years. In this paper, we study the projective synchronization in two c…

cond-mat.dis-nn2005★ 5 cited

Complex networks generated by the Penna bit-string model: Emergence of small-world and assortative mixing

Chunguang Li, Philip K. Maini

The Penna bit-string model successfully encompasses many phenomena of population evolution, including inheritance, mutation, evolution and ageing. If we consider social interaction…

nlin.CD2004★ 41 cited

Hopf Bifurcation and Chaos in Tabu Learning Neuron Models

Chunguang Li, Guanrong Chen, Xiaofeng Liao +1

In this paper, we consider the nonlinear dynamical behaviors of some tabu leaning neuron models. We first consider a tabu learning single neuron model. By choosing the memory decay…

nlin.CD2004★ 93 cited

Hopf Bifurcation and Chaos in a Single Inertial Neuron Model with Time Delay

Chunguang Li, Guanrong Chen, Xiaofeng Liao +1

A delayed differential equation modelling a single neuron with inertial term is considered in this paper. Hopf bifurcation is studied by using the normal form theory of retarded fu…

cond-mat.dis-nn2004★ 50 cited

Stability of a neural network model with small-world connections

Chunguang Li, Guanrong Chen

Small-world networks are highly clustered networks with small distances among the nodes. There are many biological neural networks that present this kind of connections. There are…

cond-mat.dis-nn2004★ 36 cited

A comprehensive weighted evolving network model

Chunguang Li, Guanrong Chen

Many social, technological, biological, and economical systems are best described by weighted networks, whose properties and dynamics depend not only on their structures but also o…