In this work we examine the time-resolved, instantaneous current response for the spinless Falicov-Kimball model at half-filling, on both sides of the Mott-Hubbard metal-insulato...
Improving logic capacity by time-sharing, dynamically reconfigurable FPGAs are employed to handle designs of high complexity and functionality. In this paper, we model each task ...
Abstract. We show how to transform formulae written in the real-time temporal logic MITL into timed automata that recognize their satisfying models. This compositional construction...
This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows ...
DAWN is technique for modelling and verifying network algorithms, which is based on Petri nets and temporal logic. In this paper, we present a different perspective of DAWN that al...