Work

Two methodologies for brain signal analysis derived from Freeman Neurodynamics

Year: 2025

Type: article

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.

Source: Frontiers in Systems Neuroscience

DOI: 10.3389/fnsys.2025.1570231

Authors: Jeffery Jonathan Joshua Davis, Ian J. Kirk, Robert Kozma

Institutions: University of Auckland, Obuda University, University of Memphis

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $3,801

Funder: University of Auckland