Latent Dirichlet allocation model uses a generalized linear model and learns and classifies multivariate data.
All univariate analyses use a generalized linear model.  All multivoxel (pattern) analyses are implementing machine learning algorithms. All implementing machine learning algorithms are to learn and classify multivariate data. The Latent Dirichlet allocation model uses a generalized linear model or a univariate analysis.  If the Latent Dirichlet allocation model does not learn and classify multivariate data, then the Latent Dirichlet allocation model uses a generalized linear model and a multivoxel (pattern) analysis.
∀x (UnivariateAnalysis(x) → UsesGeneralizedLinearModel(x))   ∀x (MultivoxelPatternAnalysis(x) → ImplementingMachineLearningAlgorithms(x))  ∀x (ImplementingMachineLearningAlgorithms(x) → LearnAndClassifyMultivariateData(x))   UsesGeneralizedLinearModel(latentDirichletAllocationModel) ∨ UnivariateAnalysis(latentDirichletAllocationModel)  ¬LearnAndClassifyMultivariateData(latentDirichletAllocationModel) → UsesGeneralizedLinearModel(latentDirichletAllocationModel) ∧ MultivoxelPatternAnalysis(latentDirichletAllocationModel)