Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...
Temporal derivatives are computed by a wide variety of neural circuits, but the problem of performing this computation accurately has received little theoretical study. Here we sy...
In this paper, we discuss the degeneration of relevance of uncertain temporal information and propose an analytical upper bound for the relevance time of information in a restrict...
Formal verification based on model checking provides a powerful technology to query qualitative models of dynamical systems. The application of model-checking approaches is hamper...
Pedro T. Monteiro, Delphine Ropers, Radu Mateescu,...
Abstract: Models of the dynamics of cellular interaction networks have become increasingly larger in recent years. Formal verification based on model checking provides a powerful t...
Pedro T. Monteiro, Delphine Ropers, Radu Mateescu,...