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thomson’s multitaper power spectral density estimate matlab function pmtm  (MathWorks Inc)


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    MathWorks Inc thomson’s multitaper power spectral density estimate matlab function pmtm
    Thomson’s Multitaper Power Spectral Density Estimate Matlab Function Pmtm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/spectral+density+function/pmc10168360-282-7-13
    Average 90 stars, based on 1 article reviews
    thomson’s multitaper power spectral density estimate matlab function pmtm - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Activity Assay:

    Article Title: Glioblastoma remodelling of human neural circuits decreases survival.
    Article Snippet: .. Spectral activity from 1 to 50 Hz was estimated at each voxel using Thomson’s multitaper method (pmtm in MATLAB R2021b) with 29 Slepian tapers. ..

    other:

    Article Title: Basolateral amygdala oscillations enable fear learning in a biophysical model
    Article Snippet: LFP’s power spectra are calculated using the Thomson’s multitaper power spectral density estimate (MATLAB function pmtm) ( ) for frequencies ranging from 0.1 – 70 Hz.

    Article Title: Assaying neural activity of children during video game play in public spaces: a deep learning approach.
    Article Snippet: Later, power spectral density (PSD) using Thomson’s multitaper 232 method (pmtm) as implemented in Matlab (Signal Processing Toolbox Version 7.4, the MathWorks, 233 Inc., Natick, Massachusetts, United States) was computed to check the frequency component of the 234 signals produced.

    Article Title: Wearable Peripheral Nerve Stimulator Reduces Essential Tremor Symptoms Through Targeted Brain Modulation.
    Article Snippet: Then, each 60-second MER time series was 154 segmented into 1-second bins for power spectral density (PSD) estimation using Thomson’s 155 multi-taper method with Slepian tapers (MATLAB pmtm function, time-half bandwidth product = 156 3).

    Article Title: Cortico-Striatal Cross-Frequency Coupling and Gamma Genesis Disruptions in Huntington’s Disease Mouse and Computational Models
    Article Snippet: Power spectral densities were computed using Thomson’s multi-taper power spectra estimate in MATLAB.

    Article Title: Basolateral amygdala oscillations enable fear learning in a biophysical model
    Article Snippet: LFP’s power spectra are calculated using the Thomson’s multitaper power spectral density estimate (MATLAB function pmtm; ) for frequencies ranging from 0.1 to 70 Hz.

    Article Title: Frequency-specific medial septal nucleus deep brain stimulation improves spatial memory in MK-801-treated male rats
    Article Snippet: Measures of power spectral density were obtained using Thomson’s multi-taper analysis (pmtm() in Matlab’s Signal Processing Toolbox).

    Generated:

    Article Title: Modulation of Neural Activity during Guided Viewing of Visual Art
    Article Snippet: .. Power Spectral Density (PSD) was chosen the primary variable of interest: one PSD was generated per epoch (256 samples; 1.16 [s]) using Matlab’s Thomson’s Multitaper Power Spectral Density Estimate function (‘pmtm’; sampling frequency: 220 Hz) . .. 60-Dimensional vectors comprising the baseline-corrected power spectral density were separated into clusters generated using Hierarchical Clustering using the Matlab’s Machine Learning and Statistics Toolbox (‘clustergram’; linkage method: ward, inner squared distances using Euclidian distance; standardized columns) as in ; .

    Sampling:

    Article Title: Modulation of Neural Activity during Guided Viewing of Visual Art
    Article Snippet: .. Power Spectral Density (PSD) was chosen the primary variable of interest: one PSD was generated per epoch (256 samples; 1.16 [s]) using Matlab’s Thomson’s Multitaper Power Spectral Density Estimate function (‘pmtm’; sampling frequency: 220 Hz) . .. 60-Dimensional vectors comprising the baseline-corrected power spectral density were separated into clusters generated using Hierarchical Clustering using the Matlab’s Machine Learning and Statistics Toolbox (‘clustergram’; linkage method: ward, inner squared distances using Euclidian distance; standardized columns) as in ; .



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