Wavenumber power spectrum of the EEG, ECoG, and ERP

机译：EEG，ECoG和ERP的波数功率谱

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We use a physiologically based model of corticothalamic dynamics to explore the wavenumber content of EEG signals. The predicted wavenumber spectrum has three plateaus separated by regions of monotonic power decrease, which we explain by filtering of the signal through neurons of different type and characteristic range. The predicted spectrum agrees well with EEG, ECoG, and ERP data. We investigate the effect of imposing cortical boundary conditions, by examining the resulting modal structure of the spectrum. We deduce that boundary conditions do not affect the main spectral features of our model under most circumstances, and can thus be ignored.

机译：我们使用基于生理的皮层丘脑动力学模型来探索脑电信号的波数含量。预测的波数频谱具有三个由单调功率下降区域分隔的平稳段，我们通过通过不同类型和特征范围的神经元对信号进行滤波来进行解释。预测的频谱与EEG，ECoG和ERP数据非常吻合。我们通过检查谱图的结果模态结构来研究施加皮质边界条件的影响。我们推论边界条件在大多数情况下不会影响模型的主要光谱特征，因此可以忽略。

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来源
《Computational Neuroscience Meeting(CNS03); 20030705-09; Alicante(ES)》|2003年|P.1181-1186|共6页
会议地点 Alicante(ES)
作者
S.C. OConnor; P.A. Robinson;
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作者单位

Theoretical Physics, Univ. of Sydney, Broadway, Sydney 2006, Australia;

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会议组织
原文格式 PDF
正文语种 eng
中图分类生理学;
关键词
wavenumber spectrum; spatial eigenmodes; EEG; continuum model;

机译：波数谱；空间本征模；脑电图；连续谱模型;
入库时间 2022-08-26 14:29:47

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专利

1. Wavenumber power spectrum of the EEG, ECoG, and ERP [J] . S.C. OConnor, P.A. Robinson Neurocomputing . 2004,第期

机译：EEG，ECoG和ERP的波数功率谱
2. Unifying and interpreting the spectral wavenumber content of EEGs, ECoGs, and ERPs [J] . OConnor SC, Robinson PA Journal of Theoretical Biology . 2004,第3期

机译：统一和解释EEG，ECoG和ERP的频谱波数内容
3. A Low-Power ECoG/EEG Processing IC With Integrated Multiband Energy Extractor [J] . Zhang F., Mishra A., Richardson A. G., Circuits and Systems I: Regular Papers, IEEE Transactions on . 2011,第9期

机译：具有集成多频带能量提取器的低功耗ECoG / EEG处理IC
4. Wavenumber power spectrum of the EEG, ECoG, and ERP [C] . S. C. OConnor, P. A. Robinson Computational Neuroscience Meeting . 2004

机译：EEG，ECOG和ERP的Wavenumber功率谱
5. Changes in the frequency power spectrum of the human EEG during visual and kinesthetic imagery. [D] . Martinez, Randall Kent. 2000

机译：视觉和动觉成像过程中人类脑电图的功率频谱变化。
6. Reducing power line noise in EEG and MEG data via spectrum interpolation [O] . Sabine Leske, Sarang S. Dalal -1

机译：通过频谱插值减少EEG和MEG数据中的电源线噪声
7. EEG fingerprinting: Subject-specific signature based on the aperiodic component of power spectrum [O] . Matteo Demuru, Matteo Fraschini 2020

机译：EEG指纹识别：基于功率谱的非周期性分量的学科特定签名

Wavenumber power spectrum of the EEG, ECoG, and ERP

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