J. Méndez Rodríguez

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The understanding of the brain structure and function and its computational style is one of the biggest challenges both in Neuroscience and Neural Computation. In order to reach this and to test the predictions of neural network modeling, it is necessary to observe the activity of neural populations. In this paper we propose a hybrid modular computational(More)
The timetabling step in railway planning is based on the estimation of the running times. Usually, they are estimated as the shortest running time increased of a short time supplement. Estimating the running time amounts to define the speed profile which indicates the speed that the train driver must hold at each position. The approach proposed in this(More)
This research deals with a real-world planning problem in railroad infrastructure operations. It belongs to a project, named RECIFE, aiming at proposing a decision support software dedicated to the evaluation of the capacity of a junction or a station. The aim of this project is to develop a timetable optimization model along with timetable evaluation(More)
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