Multiple scales of statistical physics of the neocortex: Application to electroencephalography

  • Authors:

  • L. Ingber;P. L. Nunez

  • Affiliations:

  • Physical Studies Institute, P.O. Box 857, McLean, VA 22101, U.S.A. and Department of Mathematics, George Washington University, Washington, DC 20052, U.S.A.;Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118, U.S.A.

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 1990

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Abstract

The human neocortex is a complex physical and biological system that processes information at multiple spatial and temporal scales. This paper describes a statistical physics methodology to bridge several of these scales which are of current experimental interest. We propose specific algorithms to calculate neuronal processes underlying electroencephalographic and evoked potential data.