The architecture of the brain is characterized by a modular organization repeated across a
hierarchy of spatial scales—neurons, minicolumns, cortical columns, functional brain …

Although algebraic graph theory-based models have been widely applied in physical
modeling and molecular studies, they are typically incompetent in the analysis and …

Many complex networks display strong heterogeneity in the degree (connectivity)
distribution. Heterogeneity in the degree distribution often reduces the average distance …

Heterogeneity in the degree (connectivity) distribution has been shown to suppress
synchronization in networks of symmetrically coupled oscillators with uniform coupling …

We present the performances of our mathematical deep learning (MathDL) models for D3R
Grand Challenge 4 (GC4). This challenge involves pose prediction, affinity ranking, and free …

A guided tour JC van den Berg; 1. Wavelet analysis, a new tool in physics J.-P. Antoine; 2.
The 2-D wavelet transform, physical applications J.-P. Antoine; 3. Wavelets and …

Studies of nonlinear dynamical systems with many degrees of freedom show that the
behavior of these systems is significantly different as compared with the behavior of systems …

The complete synchronization and generalized synchronization (GS) of one-way coupled
time-delay systems are studied. We find that GS can be achieved by a single scalar signal …

In a recent paper, wavelet analysis is used to perturb the coupling matrix in an array of
identical chaotic systems in order to improve its synchronization. When the coupling matrix is …

In this paper, we study chaos synchronization in complex networks with time-invariant, time-
varying and switching configurations based on the matrix measure of complex matrices. To …