Zhang, L., Gläscher, J. (in prep.). A network supporting social influences in human decision-making.
Zhang, L., Gläscher, J. (in prep.). Falsifying cognitive computational models is as important as model selection: A tutorial on evaluating posterior predictions with hierarchical Bayesian methods.
Zhang, L., Hipp, J., Taylor, K., Chatham, C., & Bolognani, F. (in prep). A continuous scoring method for the Vineland™-II Adaptive Behavior Scale: Implications for clinical trials in Autism Spectrum Disorder (ASD).
Crawley, D.*, Zhang, L.*, Emily, J., …, den Ouden, H., Loth, E., & the EU-AIMS LEAP group (in prep). Computational modelling reveals cognitive processes underpinning flexible choice behaviour have a comparable developmental course in autism spectrum disorder and typical development *Co-first authors.
Bayer, J., Rusch, T., Zhang, L., Gläscher, J., & Sommer, T. (submitted). Dose-dependent effects of estrogen on prediction error related neural activity in the nucleus accumbens of healthy young women.
Zhou, L.*, Zhang, L.*, Su, Y., & Liang, ZY. (submitted). Is zero void? Attentional mechanism of hidden-zero effect in risky decision-making. *Co-first authors.
Zhou, L., Li. AM., Zhang, L., Li, S., & Liang, ZY. (2019). Similarity in processes of risky choice and intertemporal choice: The case of certainty effect and immediacy effect. Acta Psychologica Sinica. 51(3), 337-352.
Zhang, L., Redžepović, S., Rose, M., & Gläscher, J. (2018). Zen and the Art of Making a Bayesian Espresso. Neuron, 98(6), 1066-1068.
Hu, Y., He, L.*, Zhang, L.*, Wölk, T., Dreher, J. C., & Weber, B. (2018). Spreading inequality: Neural computations underlying paying-it-forward reciprocity. Social cognitive and affective neuroscience, 13(6), 578-589. *Equal contribution.
Ahn, W.-Y., Haines, N., & Zhang, L. (2017). Revealing neurocomputational mechanisms of reinforcement learning and decision-making with the hBayesDM package. Computational Psychiatry, 1, 24-57.
Yu, S., Lei. X., & Zhang, L. (2010). A survey on need-abandonment among university students. Proceedings of the 18th BNU “JingShi Cup” Academic Competition, the 3rd Prize, (in Chinese).
Zhang, L.*, Zheng, X.* (2009). An investigation of college students’ concept of death and self-identity attribution analysis. Proceedings of the 17th BNU “JingShi Cup” Academic Competition, the 2nd Prize, (in Chinese). *Co-first authors.
Zhang, L., Hipp, J., Taylor, K., Chatham, C., & Bolognani, F. (2017). Age-binned normalization of VinelandTM-II increases variability in standard scores: Implications for clinical trials in Autism Spectrum Disorder (ASD). Poster presented at The International Meeting for Autism Research (IMFAR), San Francisco, CA, USA.
Haines, N., Zhang, L., & Ahn W.-Y. (2016). Revealing neuro-computational mechanisms of reinforcement learning and decision-making with the hBayesDM package. Poster to be presented at the Annual Meeting of the Society for Mathematical Psychology, New Brunswick, NJ, USA.
Zhou, L.*, Zhang, L.*, & Liang, Z.-Y. (2016). Comparing the underlying process between intertemporal choice and risky choice. Talk presented at the 35th Annual Meeting of the European Group of Process Tracing Studies (EGPROC), Bonn, Germany. *Co-first authors.
Zhang, L., Gläscher, J. (2015). Modeling social influence on human decision-making with reinforcement learning theory: A Bayesian perspective. Poster presented at the Society for Neuroscience Annual meeting (SfN 2015), Chicago, IL, USA.
Zhang, L., Gläscher, J. (2015). Modeling social influence on human decision-making. Talk presented at the 57th Conference of Experimental Psychologists (TeaP), Hildesheim, Germany.
Zhang, L., Gläscher, J. (2014). Reinforcement learning signals of social influence on human decision-making. Poster presented at the Bernstein Conference 2014, Göttingen, Germany.
Zhang, L., Martínez, A., & Salillas, E. (2014). The role of finger-based number representations in online arithmetic facts retrieval. Poster presented at the 20th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Hamburg, Germany.
Multiple facets of social influence in goal-directed learning. Invited talk at CNRS, Lyon, France, 05, 2018.
Bayesian Computational Modeling of Decision-making. Invited talk at King’s College London, London, UK, 07, 2017.
A Continuous Scoring Method for the Vineland™-II Adaptive Behavior Scale:
Implications for Clinical Trials in Autism Spectrum Disorders (ASD). Roche NORD Research Forum, Basel, Switzerland, 06, 2017.
Social influences in human decision-making. Internal seminar at UKE, Hamburg, Germany, 06, 2016
Modeling social influence on human decision-making with reinforcement learning theory. The 1st International Workshop on the Neurobiology of Social Influence, Moscow, Russia, 08, 2015
Zheng, X., Zhang, L., & Jiang, W. (2016). Health psychology. China Light Industry Press. Beijing, China. [Original copy: Brannon, L., Feist, J., & Updegraff, J. (2013). Health psychology: An introduction to behavior and health. Cengage Learning. USA.]