Control theory tools for best understanding brain learning disorders

Abstract

Recent developments in cognitive neuroscience have made it possible to take a step forward in understanding the processes involved in the development of learning. Sometimes there are alterations in learning processes that cause structural and functional dysfunctions at the brain level called learning disorders. These disorders are brain-specific disorders that for detection, are needed specific screeners are needed, rather than more general tests of learning abilities. One of the brain disorders that is little studied and that causes great damage to those who suffer from it is dyscalculia. The lack of study on this alteration means that many cases remain undiagnosed or misdiagnosed, and therefore remain untreated. In order to make a correct diagnosis for the correct treatment we have been able to prove that by performing a BAEP and analyzing wave VI, the presence or absence of a learning disorder can be objectified. Another problem that arises is that of the evolution of the disorder, for which a good tool could be the modeling of brain activity through dynamic systems. In this work, in addition to delving into how to make a correct diagnosis, the evolution and possible control of linear dynamic systems that model the process in order to infer it are analyzed, taking advantage of brain plasticity that can facilitate the control that allows improvement of the dysfunction