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Infinite von Mises–Fisher Mixture Modeling of Whole Brain fMRI Data

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Publication:5380846
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DOI10.1162/neco_a_01000zbMath1414.92185OpenAlexW2744976570WikidataQ35975415 ScholiaQ35975415MaRDI QIDQ5380846

Mikkel N. Schmidt, Kristoffer Hougaard Madsen, Rasmus E. Røge, Morten Mørup

Publication date: 6 June 2019

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco_a_01000


zbMATH Keywords

functional magnetic resonance imagingvon Mises-Fisher mixturewhole brain fMRI data


Mathematics Subject Classification ID

Neural biology (92C20) Biomedical imaging and signal processing (92C55)



Uses Software

  • movMF


Cites Work

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  • On conjugate families and Jeffreys priors for von Mises-Fisher distributions
  • Combinatorial stochastic processes. Ecole d'Eté de Probabilités de Saint-Flour XXXII -- 2002.
  • Bayesian inference for the von Mises-Fisher distribution
  • Structure-From-Motion in Spherical Video Using the von Mises-Fisher Distribution
  • 10.1162/153244303321897735
  • The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI
  • A Bayesian Analysis of Directional Data Using the von Mises–Fisher Distribution
  • Dispersion on a Sphere
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