Abstract
One of the brain disorders causing great damage to those who suffer from it is dyscalculia. Dyscalculia often causes math anxiety. This circumstance is characterized by feelings of tension and fear that interfere with performance in tasks related to Mathematics. Mathematics anxiety is not always caused by a learning difficulty but in cases where this difficulty exists, if it is not diagnosed and treated properly, it is not possible to eliminate the anxiety. By using the BAEP technique, it is possible to determine the existence of a certain type of learning disorder, which allows attention to be focused on remedying the specific cause that produces the anxiety. Due to the existence of multiple factors that cause anxiety, the neuronal system that is activated is a network of interconnected networks whose controllability we need to study. In this work, we also study the controllability of multiagent neural networks by simulating possible brain networks.
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