
Dr. Hsin-Hung Li
Assistant Professor, Cognitive, Cognitive Neuroscience
200L Lazenby Hall
1827 Neil Avenue
Columbus, OH
43210
Education
- B.S. and M.S. National Taiwan University
- Ph.D. New York University
Hsin-Hung Li is an assistant professor in the Psychology Department at The Ohio State University. He received his B.S. and M.S. degree from National Taiwan University, and earned his Ph.D. in Psychology from New York University, working with David Heeger and Marisa Carrasco. Before joining OSU, he was a postdoctoral researcher in New York University, working with Wei Ji Ma and Clayton Curtis. His research focuses on the computational and neural processes underlying humans’ decision-making (e.g., how do people access their confidence or uncertainty when making a decision?), attention (e.g., how does attention improve the quality of perception and decisions) and working memory (e.g., what is the format of working memory?). He draws methods from computational cognitive science and cognitive neuroscience, and uses computational modeling to link behavioral measurements with neuroimaging.
Dr. Li is recruiting Ph.D. students, postdocs and a research assistant for 2024. Contact Dr. Li or enter the lab webpage for more information.
Awards, Honors and Recognition
2023: Swartz Foundation Postdoctoral Fellowships
2019: Pre-doctoral NRSA: Training Program in Computational Neuroscience (NIH Grant R90DA043849 awarded to NYU)
2017: Student Travel Award, Annual Conference on Cognitive Computational Neuroscience
2012: Neukom Graduate Fellowships, Dartmouth College
2011: Taiwan Ministry of Education, Study Abroad Scholarship (2011 – 2012)
Selected Publications
Li, H. H., & Curtis, C. E. (2023). Neural population dynamics of human working memory. Current Biology, 33(17), 3775-3784.
Li, H. H., Sprague, T. C., Yoo, A. H., Ma, W. J., & Curtis, C. E. (2021). Joint representation of working memory and uncertainty in human cortex. Neuron, 109(22), 3699-3712.
Li, H. H., Pan, J., & Carrasco, M. (2021). Different computations underlie overt presaccadic and covert spatial attention. Nature Human Behaviour, 5(10), 1418-1431
Li, H. H., & Ma, W. J. (2020). Confidence reports in decision-making with multiple alternatives violate the Bayesian confidence hypothesis. Nature communications, 11(1), 2004.
Li, H. H., Rankin, J., Rinzel, J., Carrasco, M., & Heeger, D. J. (2017). Attention model of binocular rivalry. Proceedings of the National Academy of Sciences, 114(30), E6192-E620
Li, H. H., Barbot, A., & Carrasco, M. (2016). Saccade preparation reshapes sensory tuning. Current Biology, 26(12), 1564-1570.