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 :
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