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Parameter Selection and Optimization in Brain Wave Research

  • Bernard Saltzberg

Abstract

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.

Keywords

Power Spectral Density Autocorrelation Function Parameter Selection Evoke Potential Zero Crossing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Press, New York 1975

Authors and Affiliations

  • Bernard Saltzberg
    • 1
  1. 1.Department of Psychiatry and NeurologyTulane University School of MedicineNew OrleansUSA

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