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  <title><![CDATA[PhD Defense by Kai Xue]]></title>
  <body><![CDATA[<p><strong>Name:&nbsp;Kai Xue</strong></p><p><strong>School of Psychological and Brain Sciences – Ph.D. Dissertation Defense Meeting</strong></p><p><strong>Date: Tue, Nov 10th, 2026</strong></p><p><strong>Time</strong>: 10:00 AM - 11:00 AM EST</p><p><strong>Location</strong>: <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgatech.zoom.us%2Fmy%2Fkaixue&amp;data=05%7C02%7Cannouncements%40grad.gatech.edu%7Cdae4346e5cb443cc2d8508df0db2b0bd%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C639244733467475940%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=J8ClO%2BWinSOlSNoB%2FKx6R%2FjeM%2Bg5yyyXCoOhmylbZqg%3D&amp;reserved=0" title="Original URL: https://gatech.zoom.us/my/kaixue. Click or tap if you trust this link.">https://gatech.zoom.us/my/kaixue</a></p><p>&nbsp;</p><p><strong>Dissertation Committee Chair/Advisor:</strong></p><p>Dobromir Rahnev, Ph.D. (Georgia Tech)</p><p>&nbsp;</p><p><strong>Dissertation Committee Members:</strong></p><p>Tansu Celikel, Ph.D. (Georgia Tech)</p><p>Sashank Varma, Ph.D. (Georgia Tech)</p><p>Mengyao Li, Ph.D. (Georgia Tech)</p><p>Megan Peters, Ph.D. (University College London)</p><p>&nbsp;</p><p><strong>Title: The Computation&nbsp;of Confidence in Perceptual Decision-Making&nbsp;</strong></p><p>&nbsp;</p><p><strong>Abstract:&nbsp;</strong>This dissertation investigates the computational mechanisms underlying confidence in perceptual decision-making through three&nbsp;related&nbsp;studies. Study 1 uses transcranial magnetic stimulation (TMS) to&nbsp;establish&nbsp;when confidence is computed, revealing that the dorsolateral prefrontal cortex (DLPFC) contributes to confidence during a broad temporal window overlapping with decision-making. Study 2 tests competing computational theories&nbsp;—&nbsp;Bayesian Confidence Hypothesis (BCH) versus Confidence in Raw Evidence Space (CRES)&nbsp;—&nbsp;in two-choice tasks, finding consistent support for evidence-based rather than probability-based confidence computation. Study 3 extends this investigation to multi-alternative decisions using a novel dot numerosity paradigm,&nbsp;demonstrating&nbsp;that confidence tracks the difference between the two highest evidence values rather than choice probability. Together, these studies advance a mechanistic framework in which confidence&nbsp;emerges&nbsp;in parallel with decisions and&nbsp;operates&nbsp;on sensory evidence rather than probability estimates.&nbsp;</p><p>&nbsp;</p>]]></body>
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