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Understanding visual memory: Higher dimensional application of a summed similarity model, theoretical approach using signal detection theory, and neurophysiological measures of its intentional control

Posted on:2006-07-13Degree:Ph.DType:Thesis
University:Brandeis UniversityCandidate:Yotsumoto, YukoFull Text:PDF
GTID:2455390005499804Subject:Psychology
Abstract/Summary:
In this thesis, I examined visual memory with various perspectives. First, a summed similarity model for visual recognition memory, NEMo , was tested with the higher order complex stimuli. The notion of perceptual representations of stimuli was also introduced to examine the mode. In the second study, I examined the affinities and differences between recognition and identification memories. The nature of recognition and identification memories were discussed, using signal detection theory and a summed similarity model. In the third study, intentional inhibitory control of visual memory was examined. The results from this study have shown the proofs of partially successful intentional ignoring, and its dependency on summed similarity, indicating the generalizability of summed similarity models to the attentional control of visual memory. The last study explored the underlying neural mechanisms of intentional ignoring, using electroencephalogram recording. Applications of mathematical models, examinations with psychophysics and signal detection theory, and measuring neurophysiological correlates, enabled profound understandings to visual memory.
Keywords/Search Tags:Visual memory, Signal detection theory, Summed similarity, Intentional, Using
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