My Google Scholar

PREPRINTS/under review

Zhang, L., Kandil, F.I., Zhao, K., Fu, X., Lamm, C., Hilgetag, C.C., & Gläscher, J. (2022). A causal role of the human left temporoparietal junction in computing social influence during goal-directed learning. bioRxiv. DOI: 10.1101/2022.06.13.495824

Kutlikova, H.H.*, Zhang, L.*, Eisenegger, C., van Honk, J., & Lamm, C. (2022). Testosterone eliminates strategic prosocial behavior. bioRxiv. DOI: 10.1101/2022.04.27.489681

Kreis, I., Zhang, L., Mittner, M., Syla, L., Lamm, C., & Pfuhl, G. (2020). Aberrant uncertainty processing is linked to psychotic-like experiences, autistic traits and reflected in pupil dilation. OSFPreprints. DOI: 10.31219/osf.io/nc2rx

Zhou, L.*, Zhang, L.*, Su, Y., & Liang, ZY. (2019). Is zero void? Attentional mechanism of hidden-zero effect in risky decision-making. PsyArXiv. DOI: 10.31234/osf.io/pmhsa

CONFERENCE PROCEEDINGS

Zhang, L., Kandil, F., Hilgetag, C.C., & Gläscher, J. (2019). The causal role of temporoparietal junction in computing social influence in human decision-making. Cognitive Computational Neuroscience (CCN 2019). Berlin, Germany. DOI: 10.32470/CCN.2019.1120-0

PEER-REVIEWED PUBLICATIONS

Zhao, Y., Zhang, L., Rütgen, M., Sladky, R., & Lamm, C. (2022). Effective connectivity reveals distinctive patterns in response to others’ genuine affective experience of disgust. NeuroImage. 119404. DOI: 10.1016/j.neuroimage.2022.119404. Preprint: 10.1101/2021.09.03.458875

Mitter, B., Zhang, L., Bauer, P., Baca, A., & Tschan, H. (2022). Modeling the Relationship between Load and Repetitions to Failure in Resistance Training: A Bayesian Analysis. European Journal of Sport Science. DOI: 10.1080/17461391.2022.2089915

’t Hart, BM., Achakulvisut, T., …, Zhang, L., …, d’Oleire Uquillas, F., & van Viegen, T. (2022). Neuromatch Academy: a 3-week, online summer school in computational neuroscience. Journal of Open Source Education, 5(49), 118. DOI: 10.21105/jose.00118

Geng, H.-Y., Chen, J., Hu, C.-P., Jin, J.-W., Chan, R. C. K., Li, Y., Hu, X.-Q., Zhang, R.-Y., & Zhang, L. (2022). Promoting Computational Psychiatry in China. Nature Human Behaviour. DOI: 10.1038/s41562-022-01328-4

Zhou, L., Zou, T., Zhang, L., Zhang, Y. Y., & Liang, Z.-Y. (2021). “Carpe diem?”: Disjunction effect of incidental affect on intertemporal choice. Frontiers in Psychology, 5896. DOI: 10.3389/fpsyg.2021.782472

Schmalz, X., Manresa, J., & Zhang, L. (2021). What is a Bayes Factor? Psychological Methods. DOI: 10.1037/met0000421. Preprint: 10.31219/osf.io/vgqbt

Joue, G., Chakroun, K., Hennies, N., Bayer, J., Gläscher, J., Zhang, L., Fuss, J., Sommer, T. (2021). Sex differences and exogenous estrogen influence learning and brain responses to prediction errors. Cerebral Cortex. DOI: 10.1093/cercor/bhab334

Zhao, Y., Zhang, L., Rütgen, M., Sladky, R., & Lamm, C. (2021). Neural dynamics between anterior insular cortex and right supramarginal gyrus dissociate genuine affect sharing from perceptual saliency of pretended pain. eLife, 10, e69994. DOI: 10.7554/eLife.69994, Preprint: 10.1101/2021.04.30.441951

Yao, Y-Y., Chopurian, V., Zhang, L., Lamm, C., & Heekeren, H. (2021). Effects of non-invasive brain stimulation on visual perspective taking: A meta-analytic study. NeuroImage, 242. DOI: 10.1016/j.neuroimage.2021.118462, Preprint: s10.1101/2021.04.24.441219

Kreis, I., Zhang, L., Moritz, S. & Pfuhl, G. (2021). Spared performance but increased uncertainty in schizophrenia: Evidence from a probabilistic decision-making task. Schizophrenia Research, DOI: 10.1016/j.schres.2021.06.038, Preprint: 10.31219/osf.io/qaupb

Zhao, Y., Rütgen, M., Zhang, L., & Lamm, C. (2021). Pharmacological fMRI provides evidence for opioidergic modulation of discrimination of facial pain expressions. Psychophysiology. e13717. DOI: 10.1111/psyp.13717. Preprint: 10.31234/osf.io/uj75y

Zhang, L., Gläscher, J. (2020). A brain network supporting social influences in human decision-making. Science Advances, 6(34), eabb4159. DOI: 10.1126/sciadv.abb4159

Zhang, L.*, Lengersdorff, L.*, Mikus, N., Gläscher, J., & Lamm, C. (2020). Using reinforcement learning models in social neuroscience: frameworks, pitfalls, and suggestions of best practices. Social cognitive and affective neuroscience, 15(6), 695-707. DOI: 10.1093/scan/nsaa089

Crawley, D.*, Zhang, L.*, Emily, J., …, den Ouden, H., Loth, E., & the EU-AIMS LEAP group (2020). Modeling cognitive flexibility in autism spectrum disorder and typical development reveals comparable developmental shifts in learning mechanisms. PLOS Biology. 18(10), e3000908. DOI: 10.1371/journal.pbio.3000908. Preprint: 10.31234/osf.io/h7jcm

Botvinik-Nezer, R., Holzmeister, F., Camerer, C. F., …, Zhang, L., …, Nichols T. E., Poldrack, R. A., Schonberg T. (2020). Variability in the analysis of a single neuroimaging dataset by many teams. Nature. DOI: 10.1038/s41586-020-2314-9

Bayer, J., Rusch, T., Zhang, L., Gläscher, J., & Sommer, T. (2020). Dose-dependent effects of estrogen on prediction error related neural activity in the nucleus accumbens of healthy young women. Psychopharmacology, 237(3), 745-755. DOI: 10.1007/s00213-019-05409-7

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. DOI: 10.3724/SP.J.1041.2019.00337

Zhang, L., Redžepović, S., Rose, M., & Gläscher, J. (2018). Zen and the Art of Making a Bayesian Espresso. Neuron, 98(6), 1066-1068. DOI: 10.1016/j.neuron.2018.06.023

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. DOI: 10.1093/scan/nsy040

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. DOI: 10.1162/CPSY_a_00002

TALKS (selection)

Institute of Psychology, Goethe University Frankfurt, Frankfurt, Germany, 2022 (online)

Zurich Center for Neuroeconomics, University of Zurich, Switzerland, 2022 (online)

Brownbag Cognitive Neuroscience Seminar, George Washington University, DC, USA, 2022 (online)

Department of Psychology, University of Cambridge, 2021 (online)

Max Planck Institute for Biological Cybernetics & University of Tübingen, Tübingen, Germany, 2021 (online)

Faculty of Psychology and Educational Sciences, Katholieke Universiteit (KU) Leuven, Leuven, Belgium 2021 (online)

Computational Psychiatry Unit (PI: Xiaosi Gu), Icahn School of Medicine at Mount Sinai, New York, NY, USA, 2020  (online)

Neural Computing & Control lab (PI: Quanying Liu), Southern University of Science and Technology, Shenzhen, China, 2020 (online)

Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, China, 2020 (online)

Chinese open science network talk series, 2020 (online)

Neurochat 2020 Chinese Association for Psychological & Brain Science, 2020 (online)

Cognition Academy, Max Planck School of Cognition, Germany, 2020

OnNeuro webinar, 2019 (online)

Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2019

Decision Neuroscience Lab (PI: Sebastian Gluth), University of Basel, Switzerland. 2019

Neuroeconomics Lab (PI: Jean-Claude Dreher), CNRS, Lyon, France. 2018

Loth Lab (PI: Eva Loth), King’s College London, London, UK. 2017

Roche NORD Research Forum, Basel, Switzerland. 2017

Internal seminar at UKE, Hamburg, Germany. 2016

International Workshop on the Neurobiology of Social Influence Moscow, Russia. 2015

BOOK TRANSLATIONS

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.]