Author

Xia Zhu

Intel (United States)Primary ORCID profile (0000-0003-1041-9473 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Xia ZhuiD1 paper · Hubei Provincial Women and Children's Hospital

Biology Disciplines

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Neuroscience· 1

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Approach:matrix factorization· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

David M. BleiiD· 1 shared Jeremy R. ManningiD· 1 shared Kenneth A. NormaniD· 1 shared Kimberly StachenfeldiD· 1 shared Rajesh RanganathiD· 1 shared Theodore L. WillkeiD· 1 shared Uri HassoniD· 1 shared

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2018-2018 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

David M. BleiORCID

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1 paper

Recent·Most cited

A probabilistic approach to discovering dynamic full-brain functional connectivity patterns

Jeremy R. Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly Stachenfeld, Uri Hasson, David M. Blei, Kenneth A. Norman

This paper introduces HTFA, a Bayesian hierarchical matrix factorization model, to discover dynamic full-brain functional connectivity patterns from fMRI data and shows it can decode cognitive states during storytelling and TV watching.

NeuroImage · Oct 1, 2018Peer-reviewedNeuroscience