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View article: Adaptive Whole-Brain Dynamics Predictive Method: Relevancy to Mental Disorders
Adaptive Whole-Brain Dynamics Predictive Method: Relevancy to Mental Disorders Open
The Hopf whole-brain model, based on structural connectivity, overcomes limitations of traditional structural or functional connectivity-focused methods by incorporating heterogeneity parameters, quantifying dynamic brain characteristics i…
View article: Transcriptomic Evidence Reveals the Dysfunctional Mechanism of Synaptic Plasticity Control in ASD
Transcriptomic Evidence Reveals the Dysfunctional Mechanism of Synaptic Plasticity Control in ASD Open
Background/Objectives: A prominent endophenotype in Autism Spectrum Disorder (ASD) is the synaptic plasticity dysfunction, yet the molecular mechanism remains elusive. As a prototype, we investigate the postsynaptic signal transduction net…
View article: Machine-learning-coined noise induces energy-saving synchrony
Machine-learning-coined noise induces energy-saving synchrony Open
Noise-induced synchronization is a pervasive phenomenon observed in a multitude of natural and engineering systems. Here, we devise a machine learning framework with the aim of devising noise controllers to achieve synchronization in diver…
View article: Symbolic dynamics for a kinds of piecewise smooth maps
Symbolic dynamics for a kinds of piecewise smooth maps Open
We sincerely thank the people who give valuable comments.
View article: The complementary contribution of each order topology into the synchronization of multi-order networks
The complementary contribution of each order topology into the synchronization of multi-order networks Open
Higher-order interactions improve our capability to model real-world complex systems ranging from physics and neuroscience to economics and social sciences. There is great interest nowadays in understanding the contribution of higher-order…
View article: Stability and Bautin bifurcation of four-wheel-steering vehicle system with driver steering control
Stability and Bautin bifurcation of four-wheel-steering vehicle system with driver steering control Open
In this paper, the stability and Bautin bifurcation of a four-wheel-steering (4WS) vehicle system, by considering driver steering control, are investigated. By using the central manifold theory and projection method, the first and second L…
View article: Minimum taxi fleet algorithm considering human spatiotemporal behaviors
Minimum taxi fleet algorithm considering human spatiotemporal behaviors Open
With the development of information technology, more and more travel data have provided great convenience for scholars to study the travel behavior of users. Planning user travel has increasingly attracted researchers’ attention due to its…
View article: Stability and Bautin bifurcation of four-wheel-steering vehicle system with driver steering control
Stability and Bautin bifurcation of four-wheel-steering vehicle system with driver steering control Open
In this paper, the lateral stability and Bautin bifurcation of a four-wheel-steering(4WS) vehicle system, by considering driver steering control, are investigated. By using the central manifold theory and projection method, the first and s…
View article: Many-body spectral statistics of relativistic quantum billiard systems
Many-body spectral statistics of relativistic quantum billiard systems Open
ACKNOWLEDGMENTS This work was supported by NSFC under Grant Nos. 12175090, 11775101, and 12047501, and by the 111 Project under Grant No. B20063. X.C. acknowledges the financial support from the China Scholarship Council, and thanks B. Die…
View article: Birth of strange nonchaotic attractors in a piecewise linear oscillator
Birth of strange nonchaotic attractors in a piecewise linear oscillator Open
Nonsmooth systems are widely encountered in engineering fields. They have abundant dynamical phenomena, including some results on the complex dynamics in such systems under quasiperiodically forced excitations. In this work, we consider a …
View article: The fundamental benefits of multiplexity in ecological networks
The fundamental benefits of multiplexity in ecological networks Open
A tipping point presents perhaps the single most significant threat to an ecological system as it can lead to abrupt species extinction on a massive scale. Climate changes leading to the species decay parameter drifts can drive various eco…
View article: Predicting extreme events from data using deep machine learning: When and where
Predicting extreme events from data using deep machine learning: When and where Open
We develop a deep convolutional neural network (DCNN) based framework for\nmodel-free prediction of the occurrence of extreme events both in time ("when")\nand in space ("where") in nonlinear physical systems of spatial dimension two.\nThe…
View article: Predicting extreme events from data using deep machine learning: when and where
Predicting extreme events from data using deep machine learning: when and where Open
We develop a deep convolutional neural network (DCNN) based framework for model-free prediction of the occurrence of extreme events both in time ("when") and in space ("where") in nonlinear physical systems of spatial dimension two. The me…
View article: Autocorrelation Invariance Property of Chaos for Wireless Communication
Autocorrelation Invariance Property of Chaos for Wireless Communication Open
A new feature of the chaotic signal generated by chaotic shape-forming filter (CSF) is uncovered in this work. We find that, the autocorrelation function (ACF) of the transmitting signal generated by CSF keeps the same as that of the base …
View article: Transfer Learning With Optimal Transportation and Frequency Mixup for EEG-Based Motor Imagery Recognition
Transfer Learning With Optimal Transportation and Frequency Mixup for EEG-Based Motor Imagery Recognition Open
Electroencephalography-based Brain Computer Interfaces (BCIs) invariably have a degenerate performance due to the considerable individual variability. To address this problem, we develop a novel domain adaptation method with optimal transp…
View article: Double-Stream Differential Chaos Shift Keying Communications Exploiting Chaotic Shape Forming Filter and Sequence Mapping
Double-Stream Differential Chaos Shift Keying Communications Exploiting Chaotic Shape Forming Filter and Sequence Mapping Open
A new Differential Chaos Shift Keying modulation scheme exploiting Chaotic Shape-forming Filter and Sequence Mapping (CSF-SM-DCSK) is being proposed. The new CSF-SM-DCSK system employs a novel sequence mapping rule and includes a data corr…
View article: Multiattention Adaptation Network for Motor Imagery Recognition
Multiattention Adaptation Network for Motor Imagery Recognition Open
This work was supported in part by the National Natural Science Foundation of China under Grants Nos. 61873181 and 61922062
View article: STRANGE NONCHAOTIC ATTRACTORS IN A PERIODICALLY FORCED PIECEWISE LINEAR SYSTEM WITH NOISE
STRANGE NONCHAOTIC ATTRACTORS IN A PERIODICALLY FORCED PIECEWISE LINEAR SYSTEM WITH NOISE Open
The study of strange nonchaotic attractors (SNAs) has been mainly restricted to quasiperiodically forced systems. At present, SNAs have also been uncovered in several periodically forced smooth systems with noise. In this work, we consider…
View article: Double grazing bifurcations of the non-smooth railway wheelset systems
Double grazing bifurcations of the non-smooth railway wheelset systems Open
There are numerous non-smooth factors in railway vehicle systems, such as flange impact, dry friction, creep force, and so on. Such non-smooth factors heavily affect the dynamical behavior of the railway systems. In this paper, we investig…