Shih-Wei Wu 吳仕煒 - 國立陽明交通大學神經科學研究所

Shih-Wei Wu Professor

E-mail: sww@nycu.edu.tw
TEL: +886-2-2826-7144
FAX: +886-2-2820-2593
Neuroeconomics Laboratory
ShihWeiWu_CV

EXPERIENCE PUBLICATIONS LABORATORY

Educations

2003-2008, New York University, New York, USA
PhD in Experimental Psychology, Cognition and Perception program

1995-1999, National Cheng-Chi University, Taipei, Taiwan
BS in Psychology

Positions

Feb. 2021 – Professor
Institute of Neuroscience, National Yang Ming Chiao Tung University, Taiwan

Aug. 2015 – Jan. 2021 Associate professor
Institute of Neuroscience, National Yang-Ming University, Taiwan

Aug. 2010 – July 2015, Assistant professor
Institute of Neuroscience, National Yang-Ming University, Taiwan

Sept. 2008 – May 2010, Postdoctoral fellow
Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, USA

Honors

2018-2019 Stanford Neurosciences Institute Visiting Scholar Award, Stanford University, USA

2018-2019 Fulbright Senior Scholar

2017 Teaching Award, National Yang-Ming University, Taipei, Taiwan.

2003-2008 McCraken Doctoral Fellowship, New York University, New York, USA

Representative Papers

- Farashahi, S., Xu, J., Wu, S-W., Soltani, A. (2020). Learning arbitrary stimulus-reward associations for naturalistic stimuli involves transition from learning about features to learning about objects. Cognition, 205:104425, doi: 10.1016/j.cognition.2020.104425.
- Yang, Y-Y., Wu, S-W.* (2020). Base rate neglect and neural computations for subjective weight in decision under uncertainty. Proceedings of the National Academy of Sciences USA, doi:10.1073/pnas.1912378117.
- Lin, W-H., Gardner, J.L., Wu, S-W.* (2020). Context effects on probability estimation. PLOS Biology 18(3): e3000634.
- 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.
- Wu, S-W.*, Delgado, M.R., Maloney, L.T. (2015). Gambling on visual performance: Neural correlates of metacognitive choice between visual lotteries. Frontiers in Neuroscience, 9:314. doi: 10.3389/fnins.2015.00314.
- Yu, J., Tseng, P., Hung, D.L., Wu, S-W., Juan, C-H. (2015). Brain stimulation improves cognitive control by modulating medial-frontal activity and preSMA-vmPFC functional connectivity. Human Brain Mapping. doi: 10.1002/hbm.22893.
- 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, 35:1792-1805.
- Wu, S-W.*, Delgado, M.R., & Maloney, L.T. (2015). Motor decision-making. In: Arthur W. Toga, editor. Brain Mapping: An Encyclopedic Reference, vol. 3, pp. 417-427. Academic Press: Elsevier.
- Wu, S-W.*, Delgado, M. R., & Maloney, L. T. (2011). The neural correlates of the subjective utility of monetary outcome and probability weight in economic and in motor decision under risk. Journal of Neuroscience. 31(24), 8822-8831.
- Zhang, H., Wu, S-W., & Maloney, L. T. (2010). Planning multiple movements within a fixed time limit: The cost of constrained time allocation in a visuo-motor task. Journal of Vision, 10(6), 1-17.
- Wu, S-W.*, Dal Martello, M. F., & Maloney, L. T. (2009). Suboptimal allocation of time in sequential movements. PLoS ONE 4(12): e8228. doi:10.1371/journal.pone.0008228.
- Wu, S-W.*, Delgado, M. R., & Maloney, L. T. (2009). Economic decision-making compared with an equivalent motor task. Proceedings of the National Academy of Sciences USA, 106, 6088-6093.
- Dean, M., Wu, S-W., Maloney, L. T. (2007). Trading off speed and accuracy in rapid, goal directed movements. Journal of Vision, 7(5), 1-12.
- Wu, S-W.*, Trommershauser, J., Maloney, L. T., Landy, M. S. (2006). Limits to human movement planning in tasks with asymmetric gain landscapes. Journal of Vision, 6(1), 53-63.

Published Book Chapter

- Wu, S-W.*, Glimcher, P.W. (2018). The emerging standard neurobiological model of decision making: Strengths, weaknesses, and future directions. In S. Chen, M. Kaboudan, & Y. Du (Authors) The Oxford University Handbook on Computational Economics and Finance (pp. 688-713). New York: Oxford University Press.

Research Interest

I am interested in how humans and animals make decisions and the neural mechanisms that guide this process. We develop mathematical models that make quantitative predictions on choice behavior and brain activity related to valuation and choice. We study decision making in humans using functional magnetic resonance imaging (fMRI). Recently, we have also begun to investigate the decision making of non-human primates.