Author Type

Graduate Student

Date of Award

2021

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Hong, Sang Wook

Abstract

The perception and interpretation of faces provides individuals with a wealth of knowledge that enables them to navigate their social environments more successfully. The present study examined the temporal dynamics of valence information from emotional facial expressions using electroencephalogram (EEG) in conjunction with multi-variate pattern analysis (MVPA). In multiple different classifying conditions, it was demonstrated that when decoding for a positively- vs. a negatively- vs. a neutrally-valenced expression, above chance level decoding accuracy occurs sooner when compared to instances of decoding for a negatively- vs. a negatively- vs. a neutrally-valenced expression. Additionally, results showed that classification accuracy as measured by percentage of correct responses was higher in the classification condition with the positively-valenced expression versus the one with two negatively-valenced expressions. Together, these finding suggest that neural processing of facial expression may occur hierarchical manner, in that categorization between between-valence (positive vs. negative) facial expressions precedes categorization among within-valence.

Extent

133 p.

Comments

Includes bibliography.|Thesis (MA)--Florida Atlantic University, 2021.|FAU Electronic Theses and Dissertations Collection|Includes bibliography.

Identifier

FA00013862

Format

pdf

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