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The aim of this study was to develop a dynamic neural field (DNF) model to capture the essential non-linear characteristics of neural activity along several millimeters of visual cortex in response to local flashed stimuli. A two-layer DNF model was assessed to describe the response of both excitation and inhibitory layers of neurons. This particular structure of neurons interconnection was analyzed...
In nature, most systems show nonlinear complex behaviors. Among other characteristics, plants present a high degree of oscillation over time. Adaptive algorithms used to approximate such difficult behaviors show some important deficiencies. Many adaptive non-parametric methods cannot reconstruct the trajectories of such complex dynamics. Differential neural networks (DNNs) are no exception. When just...
Nowadays, the field of biomedical intelligent stimulators has received more and more attention. Those devices have been applied for the treatment of several pathologies. Among others, the visual diseases have attracted special attention due the difficulties associated to obtain desired responses in the optical nerve. The trans-corneal stimulation is strongly dependent on many factors. One of the most...
In the present paper a mathematical model of a gas–gas reaction between ozone and benzene in a tubular reactor is considered. Usually, mathematical models of chemical process are governed by a set of ordinary differential equations assuming that the corresponding concentration dynamics depends only on time. On the other hand, the spatial distribution of the mass, energy and concentrations may be observed...
Immunotherapy refers to the use of natural and synthetic substances to stimulate the immune response. This paper provides a description for an adaptive control design for immunotherapy cancer treatment mathematical model, where all state vector is considered to be not on-line available. The control strategy is suggested in two parts: the first one deals with the state estimation process using differential...
Hepatitis C is one of the illness that have affected many people around the world. It seriously harms the patient health in many ways. This paper provides a description of an adaptive nonlinear observer based on differential neural networks (DNN), designed for hepatitis C mathematical model, where all state vector is considered not to be available. Only viral load is assumed to be measurable with...
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