… Therefore, each system’s component may be identified by a node, or vertex, of a network (…
depend on the topological properties of the underneath graph’s structure of connections. …

… At the start of every frame, the master’s frame sync sends a single digital edge that is routed
to all chips symmetrically and synchronized to the clean-up PLL to provide a common notion …

… most prevalent of which is Alzheimer’s and Parkinson’s diseases. These are the most common
… Despite significant research progress, the pathogenesis of Alzheimer’s and Parkinson’s …

The chimera state with co-existing coherent and incoherent dynamics has recently attracted
a lot of attention due to its wide applicability. We investigate non-locally coupled identical …

… However, since the number of data samples in S 1 w ( 1 ) , b ( 1 ) and S 3 w ( 1 ) , b ( 1 ) are
much fewer than in the other sets, we are primarily concerned with sets S 0 w ( 1 ) , b ( 1 ) , S …

… On the other hand it should be small enough to include the behavior of some isolated nodes
that get attached to some clusters intermittently with a time scale of s. We find that s is about …

We study the impact of the interaction of nodes in a layer of a multiplex network on the
dynamical behavior and cluster synchronization of these nodes in the other layers. We find that …

We investigate spatio-temporal patterns occurring in a two-layer multiplex network of oscillatory
FitzHugh-Nagumo neurons, where each layer is represented by a nonlocally coupled …

We apply random matrix theory to complex networks. We show that nearest neighbor
spacing distribution of the eigenvalues of the adjacency matrices of various model networks, …

We study complex networks under random matrix theory (RMT) framework. Using nearest-neighbor
and next-nearest-neighbor spacing distributions we analyze the eigenvalues of the …