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Electric Fields of the Brain - The neurophysics of EEG (Hardcover, 2nd Revised edition)
Loot Price: R4,047
Discovery Miles 40 470
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Electric Fields of the Brain - The neurophysics of EEG (Hardcover, 2nd Revised edition)
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Electroencephalography (EEG) is practiced by neurologists,
cognitive neuroscientists, and others interested in functional
brain imaging. Whether for clinical or experimental purposes, all
studies share a common purpose-to relate scalp potentials to the
underlying neurophysiology. Electrical potentials on the scalp
exhibit spatial and temporal patterns that depend on the nature and
location of the sources and the way that currents and fields spread
through tissue. Because these dynamic patterns are correlated with
behavior and cognition, EEG provides a "window on the mind,"
correlating physiology and psychology.
This classic and widely acclaimed text, originally published in
1981, filled the large gap between EEG and the physical sciences.
It has now been brought completely up to date and will again serve
as an invaluable resource for understanding the principles of
electric fields in living tissue and for using hard science to
study human consciousness and cognition. No comparable volume
exists for it is no easy task to explain the problems of EEG in
clear language, with mathematics presented mainly in appendices.
Among the many topics covered by the Second Edition are micro and
meso (intermediate scale) synaptic sources, electrode placement,
choice of reference, volume conduction, power and coherence
measures, projection of scalp potentials to dura surface, dynamic
signatures of conscious experience, neural networks immersed in
global fields of synaptic action, and physiological bases for brain
source dynamics. The Second Edition is an invaluable resource for
neurologists, neuroscientists (especially cognitive
neuroscientists), biomedical engineers, and their students
andtrainees. It will also appeal to physicists, mathematicians,
computer scientists, psychiatrists, and industrial engineers
interested in EEG.
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