I am determined and look forward to study computational cognitive sciences and neuroscience in a PhD program. I have been interested in modeling mental and neural activity by computational approaches. I have investigated the neural representation of numerical cognition by computational modeling, the neural correlates of individual differences in risk-taking, and the clustering of political attitudes of Facebook users by data mining. I am also interested in advanced statistics and machine learning approaches for both behavioral and brain data analysis. I aspire to expand the scope of human knowledge via basic science research.
National Taiwan University
Bachelor of Science in Psychology (09/2013-06/2018)
Research Grant for Undergraduate Researcher
(Ministry of Science and Technology, Taiwan)
Delegate of the Joint Psychology Conference of NTU, PKU, and CUHK
University of Wisconsin - Madison
Visiting Student (1 year, fully-funded, 09/2017-06/2018)
Funded by the Scholarship of Study Abroad Program for Future Scholars in Sciences (Ministry of Education, Taiwan)
1. Chuang, Y.S., Austerweil, J., Hubbard, E. (2018). Fraction neural representation in the human parietal cortex: mixed format and magnitude dependent representations. Manuscript in preparation.
1. Chuang, Y.S., Su, Y.S., & Goh, O.S. (2018). Personal values Modulate Risk-taking behaviors: Hedonism as an accelerator and security as a brake. Manuscript in preparation.
1. Binzak, J.V., Park, Y., Toomarian, E.Y., Kalra, P., Chuang, Y.S., Percival G.M., P.G., & Hubbard, E.M. (2018) Are Fractions Percepts? Neurocognitive Relationships between Nonsymbolic and Symbolic Ratio Processing in Children and Adults. Presented at Cognitive Neuroscience Society Annual Meeting, Boston, USA [Poster]
2. Chuang, Y.S., Su, Y.S., & Goh, O.S. (2017). Personal core values modulate risky choice evaluation and subsequent risk taking behavior: an fMRI study. Presented at the Society for Neuroscience Annual Meeting, Washington, DC, USA [Poster] [Abstract]
3. Chuang, Y.S. & Goh, O.S. (2017). Personal values modulate risk-taking behaviors: Hedonism as an Accelerator and Security as a Break. Presented at Joint Conference of National Taiwan University, Peking University, and Chinese University of Hong Kong Psychology Departments, Beijing, China [Poster] Received the Excellent Poster Award
Fraction could take different formats: either symbolic or non-symbolic.
Question: IPS encodes the numeric value of fraction of all formats, but are they encoded in the same way?
RDMs represent the interrelationship between fractions with different formats and values based on research hypotheses (conceptual RDMs) or empirical fMRI data (neural RDMs).
*Note that the log-abosolute magnitude model (log-A) resembles the neural data in IPSs.
Mixing a magnitude RDM with a format RDM to produce a format-dependent magnitude RDM.
*Note that the hybrid model (e.g., GxA-6) resembles the neural data in IPSs better than the pure magnitude model log-A above.
Click the buttons to see each group's MDS. (*Note that the hybrid models are closer to IPS neural RDMs)
Relatedness test result shows that the format-dependent models could better explain the neural IPS RDMs than format-independent models.
Adults’s IPSs are more sensitive to the abstract magnitude information and is less format-dependent.
Personal core value (i.e., the values you appreciate in life) modulates the assignment of subjective economic value and further exerts its effect on behavior.
Personal core value effect is modulated by the strength of situation factor, with amplified effect under weak situation and weaken effect under strong situation.