All functions |
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Bayesian hierarchical multi-subject multiscale analysis (BHMSMA) of functional MRI data or other multiscale data |
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Bayesian Hierarchical Multi-Subject Multiscale Analysis (BHMSMA) of Functional MRI Data |
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A simulated fMRI data for 3 subjects |
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Fit GLM (general linear model) to the fMRI time-series of all voxels within a single 2D brain slice |
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Obtain estimates of the hyperparameters of the BHMSMA model |
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Obtain posterior estimate of a 2D GLM coefficients map of a regressor |
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Obtain posterior group estimate of a 2D GLM coefficients map of a regressor |
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Obtain estimates of the mixture probabilities defining the BHMSMA posterior wavelet coefficients distributions |
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Obtain samples from the posterior distribution of a 2D GLM coefficient map. |
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Obtain posterior estimates of the BHMSMA wavelet coefficients |
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Import fMRI data from various fMRI image files |
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Substitute 2D wavelet transform coefficients with user-given values |
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Apply discrete wavelet transform (DWT) to a 2D GLM coefficient map of a regressor |