Yul Kang University positionResearch Associate DepartmentsInstitutesComputational and Biological Learning Lab Research ThemesInterestsI study decision making, learning, and memory with computational models and behavioral experiments. I am interested in finding the normative way to solve a computational problem, how human performance conforms to or deviates from it, and what constraints explain the difference. Research Focus
EquipmentBehavioural analysis Computational modelling Drift diffusion models Eye tracking Collaborators
Associated News ItemsKey publicationsYul HR Kang*, Frederike H Petzschner*, Daniel M Wolpert, Michael N Shadlen (2017), “Piercing of Consciousness as a Threshold-Crossing Operation” Curr Biol 27(15): 2285-2295 Publicationsin submissionKang YHR*@, Löffler A*, Jeurissen D*, Zylberberg A#, Wolpert DM#, Shadlen MN#@ (in submission), “Multiple decisions about one object involve parallel sensory acquisition but time-multiplexed evidence incorporation” bioRxiv https://www.biorxiv.org/content/10.1101/2020.10.15.341008v1 2019Bakkour A, Palombo DJ, Zylberberg A, Kang YHR, Reid A, Verfaellie M, Shadlen MN, Shohamy D (2019), “The hippocampus supports deliberation during value based decisions” eLife 2019;8:e46080 Kang YHR*, Mahr J*, Nagy M, Andrási K, Csibra G†, Lengyel M† (2019), “Eye movements reflect causal inference during episodic memory retrieval” CCN doi.org/10.32470/CCN.2019.1330-0 2009SJ Yoon, CS Jun, H An, HR Kang, TY Jun (2009), “Patterns of temperament and character in patients with posttraumatic stress disorder and their association with symptom severity” Comprehensive Psychiatry 50 (3): 226-231 |