Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
The paper outlines results of feasibility experiments with new functions for a local version of the digital city, performed under a collective name 'Engineering City Oulu'...
Background: Neuronal communication is tightly regulated in time and in space. The neuronal transmission takes place in the nerve terminal, at a specialized structure called the sy...
Using a realistic model of activity dependent dynamical synapse, which includes both depressing and facilitating mechanisms, we study the conditions in which a postsynaptic neuron...