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multi-voxel pattern analysis (mvpa) toolbox  (MathWorks Inc)


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    MathWorks Inc multi-voxel pattern analysis (mvpa) toolbox
    Multi Voxel Pattern Analysis (Mvpa) 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/multi-voxel+pattern+analysis+(mvpa)+toolbox/pm40208789-155-6-13
    Average 90 stars, based on 1 article reviews
    multi-voxel pattern analysis (mvpa) toolbox - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Protocol to predict time perception bias from cortical neurite microstructures in healthy older adults.
    Article Snippet: Gozdas et al., STAR Protocols 6, 103756 June 20, 2025 a 2025 The Understanding cortical microstructure related to timing is key to studying aging and neurodegenerative diseases.. Here, we present a protocol for identifying brain regions involved in time perception using microstructural measures frommulti-shell diffusion MRI (dMRI).. We outline steps for processing data, applying NODDI (neurite orientation dispersion and density imaging) modeling to extract cortical neurite parameters, and quantifying neurite microstructure patterns.

    Article Title: Cortical neurite microstructural correlates of time perception in healthy older adults
    Article Snippet: The SVR analyses were performed using the Multi-Voxel Pattern Analysis (MVPA) toolbox on MATLAB [ ] to identify cortical neurite microstructural measures that are predictive of individual's average error time in the Time-Wall Estimation task.

    Article Title: Moderate Excitation Leads to Weakening of Perceptual Representations
    Article Snippet: Ridge regression was implemented using the Matlab Multi-Voxel Pattern Analysis toolbox (available for download at www.pni.csbmb.princeton.edu/mvpa ).

    Article Title: Temporary Activation of Long-Term Memory Supports Working Memory
    Article Snippet: The Princeton Multi-Voxel Pattern Analysis Toolbox (MVPA) ( http://www.csbmb.princeton.edu/mvpa ), in conjunction with the Matlab Neural Network Toolbox, was used for all pattern classification analyses.

    Article Title: MANIA-a pattern classification toolbox for neuroimaging data.
    Article Snippet: Conventional univariate statistics are common and widespread in neuroimaging research.. However, functional and structural MRI data reveal a multivariate nature, since neighboring voxels are highly correlated and different localized brain regions activate interdependently.. Multivariate pattern classification techniques are capable of overcoming shortcomings of univariate statistics.



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