Algorithms and Mathematical Models for Brain Processes at Different Hierarchy Levels
Course duration:6 h
As the modern society develops, the scientific methodology gets to all segments of public life. One of such segments is medicine, which is based on the scientific understanding of man, structure of human body and knowledge about processes in it, in connection with the most recent achievements of computer sciences and information technologies.
Symbiosis of medical science and information technologies spreads to all regions of practical medicine. However, among all the new ideas, conceptions and applications the most essential are those, which are related to the processes that are going in the brain, to the illnesses developing in the brain, caused by violation of cerebral activity. As the brain processes are very complex, the application of informational technologies is required to forecast cerebral activity.
It is necessary to analyse and explain more accurately some features of the forecasting algorithms, including the high-frequency oscillations and micro-events in cells (neurons).The systems analysis of architecture, dynamics and desirable structure of models is conducted for processes at different levels of hierarchy of the brain.
The prospects of the use of new attacks prediction and seizures recognition methods are described. The prospects of the use of cellular automation models are analyzed for the processes in the brain and their application is proposed.
Some concepts of consciousness will also be considered.
Tutor
Prof. Alexander Makarenko
Country: Ukraine
Place of employment: Institute of applied system analysis of NTUU "KPI", head of applied nonlinear analysis department
Spheres of researches: hyperbolic equation of heat conduction, development of numerous methods for differential equation of mathematical physics, measures of complexity and informational content of individual objects, mathematic modeling of global processes in large social and economic systems, modeling and prognostication of geopolitical relations, construction and application of different artificial neural network in theory and in practice, cellular automaton, sustainable development, systems with precognition, electronic control
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