Publications by authors named "Demian Garcia-Violini"
Article Synopsis
- Modifying neural activity is crucial for understanding brain functions and developing medical therapies, but there's a gap in the literature discussing neurobiological models from a formal control systems perspective.
- Existing control solutions are often empirical, lacking rigorous theoretical frameworks, which limits their effectiveness in applying to neurobiological systems.
- This paper aims to survey and analyze dynamical neurobiological models for potential closed-loop control schemes, providing a comprehensive guide for future discussions and research in control methodologies for neural behavior modification.
This work is focused on the multilevel control of the population confinement in the city of Buenos Aires and its surroundings due to the pandemic generated by the COVID-19 outbreak. The model used here is known as SEIRD and two objectives are sought: a time-varying identification of the infection rate and the inclusion of a controller. A control differential equation has been added to regulate the transitions between confinement and normal life, according to five different levels.
View Article and Find Full Text PDFField potentials (FPs) are easily reached signals that provide information about the brain's processing. However, FP should be interpreted cautiously since their biophysical bases are complex. The lateral habenula (LHb) is a brain structure involved in the encoding of aversive motivational values.
View Article and Find Full Text PDFBackground: Emerging therapies such as closed-loop (CL) glucose control, also known as artificial pancreas (AP) systems, have shown significant improvement in type 1 diabetes mellitus (T1DM) management. However, demanding patient intervention is still required, particularly at meal times. To reduce treatment burden, the automatic regulation of glucose (ARG) algorithm mitigates postprandial glucose excursions without feedforward insulin boluses.
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