Multivoxel pattern analysis using information-preserving EMD

Authors:
Zareen Mehboob;Hujun Yin;Sophie M. Wuerger;Laura M. Parkes
Affiliations:
School of Electrical and Electronic Engineering, The University of Manchester, UK,Department of Computer Science, COMSATS Institute of Information Technology, PK;School of Electrical and Electronic Engineering, The University of Manchester, UK;School of Psychology, University of Liverpool, UK;Imaging Sciences, School of Medicine, The University of Manchester, UK
Venue:
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Year:
2012

Citing 2
Cited 0

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Abstract

This paper presents a quantitative analysis on fMRI data using the information-preserving mode decomposition. Multivoxel patterns in fMRI responses in a cognitive experiment were analyzed for spatial selectivity to color perceptions of neurons in the Lateral Geniculate Nucleus (LGN) and the primary visual cortex (V1). The performance of the new method is tested and evaluated in a case study and the results are compared with the previous findings on the same dataset. While conforming to the previous study, the new results have shown improved classification of patterns for unique hues in V1.