Chih-Chung Ting, PhD
Photo: ©ralfkornmann
Postdoctoral researcher
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Academic CV
| 03/2021 - present | Postdoc in the General Psychology lab (PI: Sebastian Gluth) at the University of Hamburg |
| 09/2016 - 02/2021 | PhD student in the Faculty of Economics and Business (PI: Jan Engelmann; co-supervisor: Maël Lebreton) at the University of Amsterdam |
| 09/2012 - 10/2014 | MSc student in the Institute of Neuroscience (PI: Shih-Wei Wu) at the National Yang-Ming University, Taiwan |
| 09/2008 - 06/2012 | Student of psychology at the Chung-Yuan Christian University, Taiwan |
Competitive grants and awards
| 2019-2020 | Taiwan Scholarship - Government Scholarship to Study Abroad |
Selected Publications
Ting, C.C., Salem-Garvia, N., Palminteri, S., Engelmann, J. B. & Lebreton, M. (2023). Neural and computational underpinnings of biased confidence in human reinforcement learning. Nature Communications, 14, 6896.
Link
Ke, S. C., Gupta, A., Lo, Y. H., Ting, C. C., & Tseng, P. (2023). The hidden arrow in the FedEx logo: Do we really unconsciously see it? Cognitive Research: Principles and Implications, 40.
Link
Ting, C.-C., Palminteri, S., Lebreton, M., & Engelmann, J. B. (2021). The elusive effects of incidental anxiety on reinforcement-learning. Journal of Experimental Psychology: Learning, Memory, and Cognition.
Ting, CC., Palminteri, S., Engelmann, J.B. et al. (2020). Robust valence-induced biases on motor response and confidence in human reinforcement learning. Cognitive, Affective & Behavioral Neuroscience, 20, 1184–1199.
Engelmann, J. B., Mulckhuijse, M., & Ting, C-C. (2019). Brain measurement and manipulation methods. In A. Schram, & A. Ule (Eds.), Handbook of Research Methods and Applications in Experimental Economics (pp. 149-172). (Handbooks of Research Methods and Applications). Edward Elgar Publishing.
Farashahi, S., Ting, C. C., Kao, C. H., Wu, S. W., & Soltani, A. (2018). Dynamic combination of sensory and reward information under time pressure. PLoS computational biology, 14(3), e1006070.
Ting, C. C., Yu, C. C., Maloney, L. T., & Wu, S. W. (2015). Neural mechanisms for integrating prior knowledge and likelihood in value-based probabilistic inference. Journal of Neuroscience, 35(4), 1792-1805.