Parameter Selection and Optimization in Brain Wave Research
The increasingly important role of mathematical methods and computer analysis in brain wave research has created an urgent need to effectively communicate mathematical and computational concepts to neurophysiologists and other medical investigators engaged in behavioral and clinical research. I hope this paper will partly serve that need. The material presented is not intended as a mathematically rigorous treatment of parameter abstraction, but rather as a neurophysiologically motivated introduction to the mathematical notions underlying the selection and measurement of certain parameters. The ultimate objective is the correlation of these parameters with neurophysiological factors as a basis for studying the electrical activity of the brain and behavior.
KeywordsPower Spectral Density Autocorrelation Function Parameter Selection Evoke Potential Zero Crossing
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