Key Publications
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
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. Preprint: 10.1101/551614. [Featured by: Soltani, A. (2020). Learning from Others, but with What Confidence? Trends in Cognitive Sciences. 24(12), 963–964.DOI: 10.1016/j.tics.2020.09.011]
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. Preprint: 10.31234/osf.io/uthw2
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
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. Preprint: 10.1101/064287
Journal articles
Jin, H., Wang, Q., Yang, Y. F., Zhang, H., Gao, M., Jin, S., ..., Zhang, L., Zuo, X.-N., & Chuan-Peng, H. (in press). Chinese Open Science Network (COSN): Building an Open Science community from scratch. Advances in Methods and Practices in Psychological Science. Preprint: 10.31234/osf.io/ac9by
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, 259, 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, 6(5), 615–617. 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., Bayer, J., Gläscher, J., Zhang, L., Fuss, J., Hennies, N., Sommer, T. (2021). Sex differences and exogenous estrogen influence learning and brain responses to prediction errors. Cerebral Cortex, 32(9), 2022–2036. 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.-W., 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, 118462. 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, 243, 414–423. 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, 58(2), e13717. DOI: 10.1111/psyp.13717. Preprint: 10.31234/osf.io/uj75y
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
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. Preprint: 10.1101/551614. [Featured by: Soltani, A. (2020). Learning from Others, but with What Confidence? Trends in Cognitive Sciences. 24(12), 963–964.DOI: 10.1016/j.tics.2020.09.011]
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. Preprint: 10.31234/osf.io/uthw2
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, 582, 84–88. DOI: 10.1038/s41586-020-2314-9. Preprint: 10.1101/843193
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, Z.-Y. (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
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. 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. Preprint: 10.1101/064287
Commentaries, books & book chapters
Zhang, L. (2022). Examining mental disorders with cognitive computational neuroscience. Nature Reviews Psychology. DOI: 10.1038/s44159-022-00131-2
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
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