Markov automata describe systems in terms of events which may be nondeterministic, may occur probabilistically, or may be subject to time delays. We define a novel notion of weak ...
Abstract--In this paper, the problem of stochastic synchronization analysis is investigated for a new array of coupled discretetime stochastic complex networks with randomly occurr...
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
A model is presented to study and quantify the contribution of all available sensory information to human standing based on optimal estimation theory. In the model, delayed sensory...
Herman van der Kooij, Ron Jacobs, Bart Koopman, He...
Time delays are ubiquitous in the nervous system. Empirical "ndings suggest that time delays are adapted when considering the synchronous activity of neurons. We introduce a ...
Christian W. Eurich, Klaus Pawelzik, Udo Ernst, An...
Abstract--In this paper, a synchronization problem is investigated for an array of coupled complex discrete-time networks with the simultaneous presence of both the discrete and di...
Neuronal synchronization is often associated with small time delays, and these delays can change as a function of stimulus properties. Investigation of time delays can be cumbersom...
A method for estimating time delays between signals that are irregularly sampled is presented. The approach is based on postulating a latent variable model from which the observed...
A mixed-signal architecture for estimating the 3-D direction cosines of a broadband traveling wave impinging on an array of four sensors is presented. The architecture implements ...
For modeling and analyzing regulatory networks based on qualitative information and possibly additional temporal constraints, approaches using hybrid automata can be very helpful. ...