Abstract: Chemotaxis is understood as the biological process of the movement of living organisms in response to a chemical stimulus which can be given towards a higher (attractive) or lower (repulsive) concentration of a chemical substance. At the same time, the presence of living organisms can produce or consume chemical substance. We have studied the …
Numerical simulation for chemorepulsive and productive models Leer más »
Abstract: One of the most challenging big problems at present in Science is to try to understand the human brain. In particular, and from our perspective, if whether it is possible or not to obtain mathematical models which can describe at least part of its behavior, in particular related to consciuous experiences. This topic is a …
A dynamical system approach to human consciousness Leer más »
Abstract: Agent based models are of special interest for interdisciplinary collaboration with specialists on the field, since they allow to consider specifically which are the features of the interactions behind the processes, when drawing the (discrete) master equations. Mean field equations could be derived (e.g. at cellular level), taking into account diverse heterogeneities of the agents …
Abstract: It is well known that the Laplacian operator reproduces a great deal of diffusive processes, due mainly to its capture of aleatory movements through its mean value property, and also thanks to other features such as regularizing effect, infinite speed of propagation, etc. However, there are not few situations in which particles or individuals do …
Some nonlocal diffusivities governing biological processes Leer más »
Abstract: We propose a novel time-period clustering methodology that maintain chronology of input data to make more efficient investment decisions in renewable generation. Read more Researchers: Juan Miguel Morales, Salvador Pineda Morente Related project: PowerMath: Mathematical Methods for Data-driven Power Systems iMAT research line: RL1. Modeling of Energy Systems
