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METHODS article
Front. Syst. Neurosci.
Volume 19 - 2025 | doi: 10.3389/fnsys.2025.1570231
This article is part of the Research Topic Understanding Neural Processing as an Integrated Intelligent System View all articles
Two Methodologies for Brain Signal Analysis derived from Freeman Neurodynamics
Provisionally accepted- 1 University of Auckland, MIND Lab, School of Psychology and Centre for Brain Research, Auckland, Northland, New Zealand
- 2 Department of Mathematical Sciences, University of Memphis, Memphis, Tennessee, United States
Here, Freeman Neurodynamics is explored to introduce the reader to the challenges of analyzing electrocorticogram or electroencephalogram signals in order to make sense of two things: (a) how the brain participates in the creation of knowledge and meaning; and (b) how to differentiate between cognitive states or modalities in brain dynamics. The first (a) is addressed via a Hilbert transform based methodology, and the second (b) via a Fourier transform methodology. These methodologies, it seems to us, conform with the systems neuroscience views, models and signal analysis methods that Walter J. Freeman III used and left for us as his legacy.
Keywords: electrocorticogram, Electroencephalogram, Freeman neurodynamics, meaning, intentional action, Hilbert Transform, Fourier Transform, Pragmatic information
Received: 03 Feb 2025; Accepted: 26 Mar 2025.
Copyright: © 2025 Davis, Kirk and Kozma. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jeffery Jonathan Joshua Davis, University of Auckland, MIND Lab, School of Psychology and Centre for Brain Research, Auckland, Northland, New Zealand
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