Two methodologies for brain signal analysis derived from Freeman Neurodynamics.

IF 3.1 4区 医学 Q2 NEUROSCIENCES
Frontiers in Systems Neuroscience Pub Date : 2025-04-15 eCollection Date: 2025-01-01 DOI:10.3389/fnsys.2025.1570231
Jeffery Jonathan Joshua Davis, Ian J Kirk, Robert Kozma
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引用次数: 0

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.

两种脑信号分析方法源自Freeman神经动力学。
在这里,弗里曼神经动力学的探索是向读者介绍分析皮质电图或脑电图信号的挑战,以理解两件事:(a)大脑如何参与知识和意义的创造,以及(b)如何区分大脑动力学中的认知状态或模式。第一个(a)是通过基于希尔伯特变换的方法解决的,第二个(b)是通过傅里叶变换方法解决的。在我们看来,这些方法与Walter J. Freeman III使用并留给我们的系统神经科学观点、模型和信号分析方法一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Systems Neuroscience
Frontiers in Systems Neuroscience Neuroscience-Developmental Neuroscience
CiteScore
6.00
自引率
3.30%
发文量
144
审稿时长
14 weeks
期刊介绍: Frontiers in Systems Neuroscience publishes rigorously peer-reviewed research that advances our understanding of whole systems of the brain, including those involved in sensation, movement, learning and memory, attention, reward, decision-making, reasoning, executive functions, and emotions.
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