Author

Chang Cai

University of California, San FranciscoORCID 0000-0002-2967-0644Unclaimed ORCID profile · follow to get notified of new preprints

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Chang Cai2 papers · Chinese Academy of Sciences

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:statistical model· 1

Frequent Co-Authors

Ali B. HashemiiD· 1 shared Gitta KutyniokiD· 1 shared Klaus‐Robert MülleriD· 1 shared Srikantan S. NagarajaniD· 1 shared Stefan HaufeiD· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperNeuroscience

Ali B. HashemiORCID

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1 paper

Recent·Most cited

Unification of Sparse Bayesian Learning Algorithms for Electromagnetic Brain Imaging with the Majorization Minimization Framework

Ali B. Hashemi, Chang Cai, Gitta Kutyniok, Klaus‐Robert Müller, Srikantan S. Nagarajan, Stefan Haufe

This paper unifies three sparse Bayesian learning algorithms for EEG/MEG brain source imaging under the majorization-minimization framework and introduces a new method for low SNR settings and noise variance estimation.

NeuroImage · Jun 26, 2021Peer-reviewedNeuroscience