Yul Kang

University position

Research Associate

Departments

Department of Engineering

Institutes

Computational and Biological Learning Lab

Research Theme

Cognitive and Behavioural Neuroscience

Interests

I 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

Keywords

decision making

learning

memory

Bayesian modeling

Clinical conditions

No direct clinical relevance

Equipment

Behavioural analysis

Computational modelling

Drift diffusion models

Eye tracking

Collaborators

Cambridge

Máté Lengyel

Daniel Wolpert

International

Michael Shadlen Web: http://shadlenlab.columbia.edu

Associated News Items


    Key publications

    Yul 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