39 citations · 115 across the 7 of their papers we have counts for
7 papers
Inferring synchronizability of networked heterogenous oscillators with machine learning
Liang Wang, Huawei Fan, Yafeng Wang +4
In the study of network synchronization, an outstanding question of both theoretical and practical significance is how to allocate a given set of heterogenous oscillators on a comp…
Breathing cluster in complex neuron-astrocyte networks
Ya Wang, Liang Wang, Huawei Fan +3
Brain activities are featured by spatially distributed neural clusters of coherent firings and a spontaneous switching of the clusters between the synchrony and asynchrony states.…
Learning the dynamics of coupled oscillators from transients
Huawei Fan, Liang Wang, Yao Du +3
Whereas the importance of transient dynamics to the functionality and management of complex systems has been increasingly recognized, most of the studies are based on models. Yet i…
Criticality in Reservoir Computer of Coupled Phase Oscillators
Liang Wang, Huawei Fan, Jinghua Xiao +2
Accumulating evidences show that the cerebral cortex is operating near a critical state featured by power-law size distribution of neural avalanche activities, yet evidence of this…
Learning Hamiltonian dynamics by reservoir computer
Han Zhang, Huawei Fan, Liang Wang +1
Reconstructing the KAM dynamics diagram of Hamiltonian system from the time series of a limited number of parameters is an outstanding question in nonlinear science, especially whe…
Transfer learning of chaotic systems
Yali Guo, Han Zhang, Liang Wang +2
Can a neural network trained by the time series of system A be used to predict the evolution of system B? This problem, knowing as transfer learning in a broad sense, is of great i…
Cluster synchronization in complex network of coupled chaotic circuits: an experimental study
Ben Cao, Yafeng Wang, Liang Wang +2
By a small-size complex network of coupled chaotic Hindmarsh-Rose circuits, we study experimentally the stability of network synchronization to the removal of shortcut links. It is…