Lab Members

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Principle Investigator


Po-Jang (Brown) Hsieh
, (Personal Website)

Massachusetts Institute of Technology
2008-2011, Postdoctoral Associate, with Dr. Nancy Kanwisher

Dartmouth College
2003-2008, Ph.D. Cognitive Neuroscience, with Dr. Peter Tse

I am an assistant professor of the Neuroscience and Behavioral Disorders Program at Duke-NUS. I am interested in understanding how the human brain is able to perceive and experience the world.

Postdoctoral Research Fellows


Chun Siong Soon,  Ph.D.

My main interest is in uncovering information that does not have a direct behavioral correlate from covert human brain activity. Specifically, I would like to decode functional signatures that dissociate between conscious and unconscious neural activity.

Currently, I am using multivariate pattern classification techniques to show that pre-stimulus attention can create target-specific biases in visual processing areas, thereby enhancing object recognition performance under challenging conditions. I am adapting this paradigm to study how sleep deprivation affects such object-based attention.

About me: genetically predisposed to oxymoronism; religious unbeliever; lazy perfectionist; nerdy (hokkien) beng; photo-phobic photographer (I love taking photographs but not looking at them; I have not seen about 10 thousand photographs that I’ve taken); a vegetarian 95% of the time – whenever I'm not eating; a carnivore 5% of the time – whenever I’m eating.


Sei Hwan Oh,  Ph.D.

I investigate characteristics of attention and memory, using a combination of behavioral methods and brain imaging techniques.

Graduate Students



Joo Tan

What makes us humans tick has always intrigued me. Having spent the better part of my undergraduate studies immersed in the world of molecules and cells, it’s inevitable that I start to wonder about the events happening on a larger scale. I’m hoping that through my time as a graduate student, I’ll gain a deeper appreciation of what makes us who we are and how we interact with the world that we live in.



Shao-Min Hung (Personal Website)

I am fascinated by how language perception works as well as how unconsciously perceived information influences behavior: How does the brain represent the world through language and utilize it naturally? What are the connections among language, thoughts, and consciousness and how are they connected?



Egor Ananyev

I am working with Dr. Brown Hsieh and Dr. Trevor Penney on investigating visual processing, visual mental imagery, and cortical organization of visual pathways using behavioural techniques and neuroimaging. I am interested in how imagination, attention, and consciousness interact with visual processing, and how different factors -- internal (experience, expectations) and external (too much or too little information) -- affect these relationships. My prior experience includes investigating vision loss with head- and eye-tracking and virtual environments (with Dr. Eliezer Peli), and using artificial neural networks to evaluate neurological damage to visual system (with Dr. Stephen Kosslyn).



Zixin Yong

I’m always amazed by the fact (or illusion?) that sophisticated minds exist in a world that can be described by a handful of equations. My current research focuses on how visual perception is shaped by the natural environment’s statistical properties. A fan of Douglas Adams that is trying to make sense out of nonsense. 

Undergrad students


Research Assistants




Yu-Feng (Evan) Huang,  Ph.D.
(Personal Website)

I am interested in how modern technologies influence people's mind/brain. My recent work focuses on the neurophysiological investigation of peoples' perception and evaluation of Internet stimuli. Additionally, I work on issues of electronic commerce, including consumer decision strategies, information presentations, and moral judgments.


Rachit Dubey (Personal Website)

My goal is to improve our understanding of the human brain to build more intelligent systems. The questions that motivate me include: how do humans learn so effectively? How do we process any given visual stimulus so efficiently? How do we combine knowledge from two seemingly different domains? To answer these questions I am interested in computational models of cognition, knowledge acquisition, visual cognition and machine learning.


G.C. Chen

National Tsing Hua University
2011, MS in Computer Science

As Mr. Knuth ever said, programming is the art. I am interested in solving realistic problems by programming and on the way to be an artiest. My familiar fields are networking, multimedia and embedded system. Now I am involved in using various computing approaches to simulate problems and discover the unknown field of cognitive science.

Georg was a research assistant in the lab from 2011-2012. He is currently a graduate student at University of Tokyo studying brain and computer interface technology.


Mei Ng