کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6032931 | 1188743 | 2011 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب شناختی
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![عکس صفحه اول مقاله: A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions](/preview/png/6032931.png)
چکیده انگلیسی
⺠The study of coherence is at the heart of techniques for research in neuroscience. ⺠Coherence is a normalized measure of dependence between two signals. ⺠A significant level of wavelet coherence does not imply a true dependence. ⺠A new test on the wavelet cross-spectrum improves detection of significant dependence. ⺠Estimation of T-F correlations between simulated or EEG-EMG data is more accurate.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 55, Issue 4, 15 April 2011, Pages 1504-1518
Journal: NeuroImage - Volume 55, Issue 4, 15 April 2011, Pages 1504-1518
نویسندگان
Jérémie Bigot, Marieke Longcamp, Fabien Dal Maso, David Amarantini,