Nonparametric hierarchical Bayesian model for functional brain parcellation

Nonparametric hierarchical Bayesian model for functional brain parcellation

We develop a method for unsupervised analysis of functional brain images that learns group-level patterns of functional response. Our algorithm is based on a generative model that comprises two main layers. At the lower level, we express the functional brain response to each stimulus as a binary act...

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Bibliographic Details
Main Authors: Lashkari, Danial, Sridharan, Ramesh, Vul, Edward, Hsieh, Po-Jang, Kanwisher, Nancy, Golland, Polina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers / IEEE Computer Society 2011
Online Access:http://hdl.handle.net/1721.1/62219
https://orcid.org/0000-0003-3853-7885
https://orcid.org/0000-0003-2516-731X

Internet

http://hdl.handle.net/1721.1/62219
https://orcid.org/0000-0003-3853-7885
https://orcid.org/0000-0003-2516-731X

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