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      • Dept. of Electrical and Electronics Engineering - Master's degree
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      •   BUIR Home
      • University Library
      • Bilkent Theses
      • Theses - Department of Electrical and Electronics Engineering
      • Dept. of Electrical and Electronics Engineering - Master's degree
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      Signal detection theory analysis of category-based visual search in natural movies

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      Author
      Tutaysalgır, Osman
      Advisor
      Çukur, Tolga
      Date
      2016-09
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
      Metadata
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      Please cite this item using this persistent URL
      http://hdl.handle.net/11693/32288
      Abstract
      The human brain changes its inner hierarchy and connection strength between the neurons in order to apprehend the real world. In visual search, It is thought that the human brain changes the sensitivity of neurons in the favor of the attended object. Here, we investigate these tuning shifts of the voxels in signal detection theory perspective. Brain activities of human subjects were recorded while they were watching a natural movie. To assess the attentional e ect on the human brain, the decoding procedure was employed on the BOLD responses and the natural movie stimuli. Decoding procedure tries to predict the stimuli that form the BOLD responses. In order to bridge the gap between the stimuli and BOLD responses, logistic regression which is a classi cation algorithm is applied to form models of the subjects' brain. The model performances were assessed with dprime, ROC and AUC parameters. Our results suggest that category-selective regions in the human brain boost their detection performances further for the objects that they are not inherently selective.
      Embargo Lift Date
      2018-08-26
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      • Dept. of Electrical and Electronics Engineering - Master's degree 543

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