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mvpa-light matlab toolbox  (MathWorks Inc)


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    MathWorks Inc mvpa-light matlab toolbox

    Mvpa Light Matlab Toolbox, 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/mvpa-light+matlab+toolbox/pmc11937676-286-5-6
    Average 90 stars, based on 1 article reviews
    mvpa-light matlab toolbox - by Bioz Stars, 2026-09
    90/100 stars

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    1) Product Images from "Shared spectral fingerprints of temporal memory precision and representation of the temporal structure of complex narratives"

    Article Title: Shared spectral fingerprints of temporal memory precision and representation of the temporal structure of complex narratives

    Journal: iScience

    doi: 10.1016/j.isci.2025.112132


    Figure Legend Snippet:

    Techniques Used: Software

    Related Articles

    Software:

    Article Title: Shared spectral fingerprints of temporal memory precision and representation of the temporal structure of complex narratives
    Article Snippet: MVPA was conducted using the MVPA-Light MATLAB toolbox.

    Article Title: Sensory-Motor Modulations of EEG Event-Related Potentials Reflect Walking-Related Macro-Affordances
    Article Snippet: Here, MVPA was performed using the MVPA-Light MATLAB toolbox [ ].

    Article Title: Early categorization of social affordances during the visual encoding of bodily stimuli.
    Article Snippet: Further preprocessing teps as well as all the classification analyses were performed using he MVPA-Light MATLAB toolbox ( Treder, 2020 ).



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    Image Search Results


    Journal: iScience

    Article Title: Shared spectral fingerprints of temporal memory precision and representation of the temporal structure of complex narratives

    doi: 10.1016/j.isci.2025.112132

    Figure Lengend Snippet:

    Article Snippet: MVPA was conducted using the MVPA-Light MATLAB toolbox.

    Techniques: Software

    Temporal alignment of MEG and MASK signals. Left panel. MASK articulatory signals are brought into register with the MEG brain data using the MATLAB alignsignals function on the MEG auxiliary channel acoustic channel and the high-fidelity acoustic recording (top and second rows). Right panel. Enlargement of rectangle-bounded area in A. 1 = onset of opening movement; 2 = offset of opening movement; 3 = onset of closing movement; 4 = offset of closing movement.

    Journal: Frontiers in Human Neuroscience

    Article Title: Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement tracking and magnetoencephalography

    doi: 10.3389/fnhum.2024.1305058

    Figure Lengend Snippet: Temporal alignment of MEG and MASK signals. Left panel. MASK articulatory signals are brought into register with the MEG brain data using the MATLAB alignsignals function on the MEG auxiliary channel acoustic channel and the high-fidelity acoustic recording (top and second rows). Right panel. Enlargement of rectangle-bounded area in A. 1 = onset of opening movement; 2 = offset of opening movement; 3 = onset of closing movement; 4 = offset of closing movement.

    Article Snippet: Using the speech motor cortex coordinates derived from the speech localiser for a (single) virtual sensor, time-frequency spectrograms were generated for each individual trial and the resulting three-dimensional (time x frequency x trial) matrix was exported for classification analysis using the MVPA-Light MATLAB toolbox for classification and regression of multidimensional data ( ).

    Techniques: