Suppr超能文献

源自弗里曼神经动力学的两种脑信号分析方法。

Two methodologies for brain signal analysis derived from Freeman Neurodynamics.

作者信息

Davis Jeffery Jonathan Joshua, Kirk Ian J, Kozma Robert

机构信息

MIND Lab, School of Psychology and Centre for Brain Research, University of Auckland, Auckland, New Zealand.

The Embassy of Peace, Whitianga, New Zealand.

出版信息

Front Syst Neurosci. 2025 Apr 15;19:1570231. doi: 10.3389/fnsys.2025.1570231. eCollection 2025.

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.

摘要

在此,我们探讨弗里曼神经动力学,旨在向读者介绍分析皮质电图或脑电图信号时所面临的挑战,以便理解两件事:(a)大脑如何参与知识和意义的创造;(b)如何区分大脑动力学中的认知状态或模式。第一个问题(a)通过基于希尔伯特变换的方法解决,第二个问题(b)通过傅里叶变换方法解决。在我们看来,这些方法与沃尔特·J·弗里曼三世所采用并留传给我们的系统神经科学观点、模型及信号分析方法相符。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/157c/12037486/ca0c9f282fb7/fnsys-19-1570231-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验