Two methodologies for brain signal analysis derived from Freeman Neurodynamics

Here, Freeman Neurodynamics is explored to introduce the reader to the challenges of analyzing electrocorticogram or electroencephalogram signals 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.

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Publication Details

Journal
Frontiers in Systems Neuroscience
Published
2025-04-15
DOI
https://doi.org/10.3389/fnsys.2025.1570231
Citations
2
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
2.86

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article

Two methodologies for brain signal analysis derived from Freeman Neurodynamics

Róbert Kozma, Ian J. Kirk, Jeffery Jonathan Joshua Davis
2 citations
Frontiers in Systems Neuroscience
EEG and Brain-Computer Interfaces
2.86
article

Two methodologies for brain signal analysis derived from Freeman Neurodynamics

Róbert Kozma, Ian J. Kirk, Jeffery Jonathan Joshua Davis
article en
2 citations

Abstract

Here, Freeman Neurodynamics is explored to introduce the reader to the challenges of analyzing electrocorticogram or electroencephalogram signals 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.

Frontiers in Systems NeuroscienceVol. 19
Obuda University (HU), University of Auckland (NZ), BM Központi Kórház (HU), Brain Research New Zealand (NZ), University of Memphis (US)
University of Auckland
Quality Education
Openalex Percentile: Top 11%
EEG and Brain-Computer Interfaces
2.86
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