ICALP
2011
Springer
13 years 3 months ago
2011
Springer
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 ...
TNN
2010
13 years 7 months ago
2010
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...
ASC
2011
13 years 7 months ago
2011
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...
BC
1999
14 years 3 days ago
1999
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...
IJON
2000
14 years 7 days ago
2000
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 ...
TSMC
2008
14 years 9 days ago
2008
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...
JCNS
2007
14 years 10 days ago
2007
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...
IJON
2008
14 years 13 days ago
2008
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...
ISCAS
2003
IEEE
14 years 5 months ago
2003
IEEE
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 ...
CMSB
2007
Springer
14 years 6 months ago
2007
Springer
For modeling and analyzing regulatory networks based on qualitative information and possibly additional temporal constraints, approaches using hybrid automata can be very helpful. ...