Logan Grosenick

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. doi request reprint Interpretable classifiers for FMRI improve prediction of purchases
    Logan Grosenick
    Neuroscience Institute at Stanford, Stanford University, Stanford, CA 94305 USA
    IEEE Trans Neural Syst Rehabil Eng 16:539-48. 2008
  2. ncbi request reprint Fish can infer social rank by observation alone
    Logan Grosenick
    Department of Biological Sciences, Stanford University, Stanford, California, 94305, USA
    Nature 445:429-32. 2007
  3. ncbi request reprint Single-trial classification of MEG recordings
    Marcos Perreau Guimaraes
    Center for Study of Language and Information, CSLI 220 Panama Street, Stanford University, Stanford, CA 94305, USA
    IEEE Trans Biomed Eng 54:436-43. 2007
  4. ncbi request reprint Quantifying inter-subject agreement in brain-imaging analyses
    Dik Kin Wong
    Center for the Study of Language and Information, Ventura Hall, 200 Panama St, Stanford University, CA, USA
    Neuroimage 39:1051-63. 2008

Collaborators

Detail Information

Publications4

  1. doi request reprint Interpretable classifiers for FMRI improve prediction of purchases
    Logan Grosenick
    Neuroscience Institute at Stanford, Stanford University, Stanford, CA 94305 USA
    IEEE Trans Neural Syst Rehabil Eng 16:539-48. 2008
    ..More broadly, this approach provides a general framework for using neuroimaging data to build interpretable models, including those that predict choice...
  2. ncbi request reprint Fish can infer social rank by observation alone
    Logan Grosenick
    Department of Biological Sciences, Stanford University, Stanford, California, 94305, USA
    Nature 445:429-32. 2007
    ..Rather, animals probably use multiple domain-specific representations adapted to different social and ecological pressures that they encounter during the course of their natural lives...
  3. ncbi request reprint Single-trial classification of MEG recordings
    Marcos Perreau Guimaraes
    Center for Study of Language and Information, CSLI 220 Panama Street, Stanford University, Stanford, CA 94305, USA
    IEEE Trans Biomed Eng 54:436-43. 2007
    ..Our best single-trial mean classification rate was 60.1% for classification of 900 single trials of nine auditory words. On two-class problems rates were as high as 97.5%...
  4. ncbi request reprint Quantifying inter-subject agreement in brain-imaging analyses
    Dik Kin Wong
    Center for the Study of Language and Information, Ventura Hall, 200 Panama St, Stanford University, CA, USA
    Neuroimage 39:1051-63. 2008
    ..We validate the method on two previously published and two simulated EEG data sets...