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   +(36) 88 624 023 | |    H-8200, Veszprem, Egyetem str. 10, Building I.

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Lecturer  Dr, Zoltan Nagy DSc. professor

Brief description of the course:

The aim of the course is to present the basics of cell biology, network biology and basic neurological, physiological and pathophysiological processes that support data acquisition and data processing based on the understanding of normal or abnormal functions. This is one of the most active areas in biomedical research of signal detection and computation and instrument development. Here informatics, computer technology and hardware development on the one hand, and research and development in electrical engineering on the other 
are the determining factors of the present and the future development.


Cell structure and functions, neuronal membrane structure. Transmembrane processes. Ion channels, biology of signalling. Structure, types and function of synapses. Ion balance, action potential, stimulus propagation mechanisms. 

Action potential of a cell and its measurement methods. Neuronnal networks. 
Network biology, network neuro-biology. Network research methodology. 

Cerebral networks, important cerebral systems (movement, perception, sensory organs, higher neural processes) 

Stimulus propagation, theory and practice of the EEG, ENG and EMG methods, development trends. 

EEG, from single-cell action potential to higher neural functions. 

Scalp electrode management, corticography, theory and practice of deep electrode exploration, current recording methods. Data processing. 

Application example: localization of epilepsy foci (CSI FP6 project)



    Haines, DE: Fundamental Neuroscience for Basic and Clinical Applications, 4th edition, Saunders, 2013. 
    Berne R.M., Levy M.N.: Physiology, 7th ed. St. Louis Mosby, 1997 
    Kandel E, Schwartz J, Jessell T.: Principle of neuralscience McGraw-Hill Education, 2012. 
    Buzsaki Gy.:Rhythms of the brain, Oxford University Press, 2011. 
    Nunez PL, Srinivasan R: Electric Fields of the Brain: The Neurophysics of EEG, 2nd Edition, Oxford University Press, Oxford, 2005.