Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain

Timothy Rubin, Oluwasanmi O. Koyejo, Michael N. Jones, Tal Yarkoni

–Neural Information Processing Systems 

We illustrate the qualitative improvements offered by GC-LDA in terms of the types of topics extracted with alternative spatial representations, as well as the model's ability to incorporate a-priori knowledge from the neuroimaging

Neural Information Processing Systems

Nov-21-2025, 06:52:28 GMT

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Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain
Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain

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