Improved mapping of information distribution across the cortical surface with the support vector machine
By Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan. 2008
30 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
Citations in the corpus
- Interpreting support vector machine models for multivariate group wise analysis in neuroimaging (2015, neutral): “The primary differences between our approach and approaches like voxel based morphometry (VBM)/SVM searchlights Xiao et al. (2008) Rao et al. (2011) Etzel et al. (2013)) are 1) that our approach focusses on interpreting an SVM model and 2) that our approach is based on a global perspective that…”
- Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification (2013, unknown): “Further, some SVM applications involve running separate SVMs on local 3D windows in MR images in order to identify group differences (Rao et al., 2011; Xiao et al., 2008).”
- A spatio-temporal support vector machine searchlight for fMRI analysis (2011, methodology): “The approach in our current paper is similar to that used by Xiao et al. [ 5 ].”