Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/54550
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dc.contributor.authorNamazi, Hamidreza
dc.date.accessioned2013-06-24T01:57:25Z
dc.date.available2013-06-24T01:57:25Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10356/54550
dc.description.abstractPsychodynamics as a branch of human thermodynamics contains a wide group of theories which analyze the effect of instinctive drives and forces on human behaviour. In fact, Psychodynamics considers the human personality as the result of interaction between his biological constitution and environment. Early in the development of psychodynamics, theories only talk about the effect of unconscious drives and forces. By the development of these theories, talking about conscious motivation and its interaction with unconsciousness came into account. Based on the first law of thermodynamics Freud proposed a dynamic psychology considering the human personality as the result of interaction between id (biological needs and drives), the super-ego (environment) and ego (conscious mind). Following the work done by Freud, Jung made some major contributions to psychology. This research is devoted to the study of the human brain as the processing center of energy transform in human life in order to create a macroscopic model of human consciousness. In order to achieve this goal, the fractional diffusion equations are applied to human cortex with macro level predictability of the brain response to external stimuli. In order to validate the proposed model, EEG data are applied to the model, and the results are validated versus the reference data. The results of this modelling are useful not only for the fundamental analysis of brain signals propagation, but also can be used for many types of applications such as seizure prediction by using EEG signals.en_US
dc.format.extent336 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Mechanical engineering::Fluid mechanicsen_US
dc.titlePhysico-mathematical foundations of psychodynamicsen_US
dc.typeThesis
dc.contributor.supervisorVladimir Vladimirovich Kulishen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeDoctor of Philosophy (MAE)en_US
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