Multivoxel pattern analysis using information-preserving EMD

Z. Mehboob, H. Yin, S.M. Wuerger, L.M. Parkes

Research output: Chapter in Book/Conference proceedingChapterpeer-review

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.
Original languageUndefined
Title of host publicationInternational Conference on Intelligent Data Engineering and Automated Learning
Subtitle of host publicationIDEAL 2012: Intelligent Data Engineering and Automated Learning - IDEAL 2012
EditorsHujun Yin, Jose A Costa, Guilherme Barreto
PublisherSpringer Nature
Pages19-26
Number of pages8
DOIs
Publication statusPublished - 2012
EventIDEAL 13th International Conference, - Natal, Brazil
Duration: 29 Aug 201231 Aug 2012

Conference

ConferenceIDEAL 13th International Conference,
Country/TerritoryBrazil
CityNatal
Period29/08/1231/08/12

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