DocumentCode
3107257
Title
Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures
Author
Eickenberg, Michael ; Senoussi, Mehdi ; Pedregosa, Fabian ; Gramfort, Alexandre ; Thirion, Bertrand
Author_Institution
Parietal Team, INRIA Saclay-Ile-de-France, Saclay, France
fYear
2013
fDate
22-24 June 2013
Firstpage
5
Lastpage
8
Abstract
Second layer scattering descriptors are known to provide good classification performance on natural quasi-stationary processes such as visual textures due to their sensitivity to higher order moments and continuity with respect to small deformations. In a functional Magnetic Resonance Imaging (fMRI) experiment we present visual textures to subjects and evaluate the predictive power of these descriptors with respect to the predictive power of simple contour energy - the first scattering layer. We are able to conclude not only that invariant second layer scattering coefficients better encode voxel activity, but also that well predicted voxels need not necessarily lie in known retinotopic regions.
Keywords
biomedical MRI; image classification; image texture; classification performance; deformation; fMRI activity; functional magnetic resonance imaging; higher order moments; invariant second layer scattering coefficients; natural quasistationary processes; retinotopic regions; second order scattering descriptors; simple contour energy; visual textures; voxel activity; Brain modeling; Performance gain; Scattering; Sensitivity; Visualization; Wavelet transforms; encoding; fMRI; retinotopy; scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition in Neuroimaging (PRNI), 2013 International Workshop on
Conference_Location
Philadelphia, PA
Type
conf
DOI
10.1109/PRNI.2013.11
Filename
6603543
Link To Document