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  <title><![CDATA[PhD Proposal by Kai Xue]]></title>
  <body><![CDATA[<p><strong>Name: Kai Xue</strong></p><p><strong>Ph.D. Dissertation Proposal Meeting</strong></p><p><strong>Day/Time:</strong>&nbsp;Thursday, February 26th, 2026 – 12:30 PM Eastern Time</p><p><strong>Location</strong>: <a href="https://gatech.zoom.us/my/kaixue">https://gatech.zoom.us/my/kaixue</a></p><p>&nbsp;</p><p><strong>Advisor</strong>: Dobromir Rahnev (Georgia Tech)</p><p>&nbsp;</p><p><strong>Dissertation Committee Members:</strong></p><p>Dr. Sashank Varma (Georgia Tech)</p><p>Dr. Tansu Celikel (Georgia Tech)</p><p>Dr. Mengyao Li&nbsp; (Georgia Tech)</p><p>Dr. Megan Peters (University of California, Irvine)</p><p>&nbsp;</p><p><strong>Title: The Computation of Confidence in Perceptual Decision-Making&nbsp;</strong></p><p>&nbsp;</p><p><strong>Abstract</strong>: This dissertation investigates the computational mechanisms underlying confidence in perceptual decision-making through three related studies. Study 1 uses transcranial magnetic stimulation (TMS) to establish 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 — Bayesian Confidence Hypothesis (BCH) versus Confidence in Raw Evidence Space (CRES) — 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, demonstrating 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 emerges in parallel with decisions and operates on sensory evidence rather than probability estimates.&nbsp;</p><p>&nbsp;</p>]]></body>
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