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Title: Mapping multivariate measures of brain response onto stimulus information during emotional face classification
Author: Garrod, Oliver G. B.
ISNI:       0000 0004 2685 7942
Awarding Body: University of Glasgow
Current Institution: University of Glasgow
Date of Award: 2010
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The relationship between feature processing and visual classification in the brain has been explored through a combination of reverse correlation methods (i.e.“Bubbles” [22]) and electrophysiological measurements (EEG) taken during a facial emotion categorization task [63]. However, in the absence of any specific model of the brain response measurements, this and other [60] attempts to parametrically relate stimulus properties to measurements of brain activation are difficult to interpret. In this thesis I consider a blind data–driven model of brain response. Statistically independent model parameters are found to minimize the expectation of an objective likelihood function over time [55], and a novel combination of methods is proposed for separating the signal from the noise. The model’s estimated signal parameters are then objectively rated by their ability to explain the subject’s performance during a facial emotion classification task, and also by their ability to explain the stimulus features, as revealed in a Bubbles experiment.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: BF Psychology