Affiliation: Stanford University
- Interpretable classifiers for FMRI improve prediction of purchasesLogan 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...
- Fish can infer social rank by observation aloneLogan 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...
- Single-trial classification of MEG recordingsMarcos 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%...
- Quantifying inter-subject agreement in brain-imaging analysesDik 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...