Plenary Lecture
Analyzing Controllability of Dynamical Systems Modelling Brain Neural Networks
Professor Maria Isabel Garcia-Planas
Department of Mathematics
“Universitat Politecnica de Catalunya”
Spain
E-mail: maria.isabel.garcia@upc.edu
Abstract: The brain structure can be modelled as a deep recurrent complex neuronal network. Networked systems are expressly interesting systems to control because of the role of the underlying architecture, which predisposes some components to particular control motions. The concept of brain cognitive control is analogous to the mathematical concept of control used in engineering, where the state of a complex system can be adjusted by a particular input. The in-depth study on the controllability character of dynamical systems, despite being very difficult, could help to regulate the brain cognitive function. small advances in the study can favour the study and action against learning difficulties such as dyscalculia or other disturbances like the phenomena of forgetting.
Brief Biography of the Speaker: Professor Dr. Maria Isabel Garcia-Planas joined the Department of Mathematics at the “Universitat Politecnica de Catalunya” Barcelona, Spain in 1981. Her work had been centered on Linear Algebra, Systems and Control Theory. She has authored over a two hundred papers and serves on the referee on several indexed scientific journals. She has been plenary Speaker in several WSEAS International Multi-Conferences as well to INASE Conferences.