In this paper a computational algorithm for nonlinear balanced realization and model reduction based on Taylor series expansion is proposed. This algorithm requires recursive comp...
We present a computational model of amygdala neural networks. It is used to simulate neuronal activation in amygdala nuclei at different stages of aversive conditioning experiments...
E-learning by doing is an important e-learning process, that provides several advantages but that requires a high interactivity degree, not always supported in e-learning contexts...
This paper shows that a well-known algorithm proposed to compute the canonical polygonal schema of a surface can be transferred onto a 2-dimensional generalized map. We show that ...
In this paper, we investigate the computational efficiency of gene rearrangement operations found in ciliates, a type of unicellular organisms. We show how the so-called guided re...