Cahalan S, Mitroff SR, Subiaul F, Rosenblau G. (2025) Using the cognitive rigidity-flexibility dimension to deepen our understanding of the autism spectrum. Personality Neuroscience. 2025;8:e3. 10.1017/pen.2025.10002
Cahalan, S., Block, S. H., Loughlin, M., Perla, R., Korn, C.W. & Rosenblau, G. (2025) Rethinking the double empathy problem – Modeling how autistic and non-autistic groups learn about their own and each other’s preferences https://osf.io/preprints/osf/8v3nk_v1
Liu W., Pluta A., Charpentier C.J., Rosenblau G. (2025) A computational cognitive neuroscience approach for characterizing individual differences in autism: Introduction to Special Issue. Personality Neuroscience. 2025;8:e2. 10.1017/pen.2025.2
Liu, W., Mark, I., Korn, C. W., and Rosenblau, G. (2025) Social context matters – Characterizing adolescent cooperation strategies when perceiving the other as a peer versus computer partner. Journal of Adolescence https://onlinelibrary.wiley.com/doi/10.1002/jad.70025
Doyon, J. K., Shomstein, S., and Rosenblau, G. (2025). Feature learning both shapes and is shaped by object similarity representations. Communications Psychology https://rdcu.be/elLf4
Liu, W., Shah, N. A., Ma, I., and Rosenblau, G. (2023). Strategic social decision making undergoes significant changes in typically developing and autistic early adolescents. Developmental Science https://onlinelibrary.wiley.com/doi/full/10.1111/desc.13463
Rosenblau, G., Frolichs, K., and Korn, C. W. (2023). A neuro-computational social learning framework to facilitate transdiagnostic classification and treatment across psychiatric disorders. Neuroscience and Biobehavioral Reviews. DOI: https://doi.org/10.1016/j.neubiorev.2023.105181
Frolichs, K., Rosenblau, G., and Korn, C. (2022). Incorporating social knowledge structures into computational models. Nature Communications. DOI: https://doi.org/10.1038/s41467-022-33418-2
Rosenblau, G., Korn, C., Dutton, A., Lee, D., and Pelphrey, K. A. (2020). Neurocognitive mechanisms of social inferences in typical and autistic adolescents. Biological Psychiatry: CCNI. DOI: https://doi.org/10.1016/j.bpsc.2020.07.002
Rosenblau, G., O’Connel, G., Heekeren, R. H., and Dziobek, I. (2019). Neurobiological mechanisms of social cognition treatment in high-functioning adults with autism spectrum disorder. Psychological Medicine. DOI: https://doi.org/10.1017/S0033291719002472
Rosenblau, G., Korn, C. W., and Pelphrey, K. A. (2018). A computational account of optimizing social predictions reveals that adolescents are conservative learners in social contexts. Journal of Neuroscience. 38 (4) 974-988; DOI: https://doi.org/10.1523/JNEUROSCI.1044-17.2017
Rosenblau, G., Kliemann, D., Dziobek, I., and Heekeren, H.R. (2017). Emotional prosody processing in autism spectrum disorder. Social Cognitive and Affective Neuroscience, 12(2), 224-239. https://doi.org/10.1093/scan/nsw118
Rosenblau, G., Kliemann, D., Lemme, B., Heekeren, H.R., and Dziobek, I. (2016). The role of the amygdala in naturalistic mentalising in typical development and in autism spectrum disorder. British Journal of Psychiatry, 208(6), 556-564. DOI: https://doi: 10.1192/bjp.bp.114.159269
Korn, C.W.*, Rosenblau, G.*, (*Co-first authors) Rodriguez, Buritica J.M., and Heekeren, H.R. (2016). Performance feedback processing is positively biased as predicted by attribution theory. PLoS One, 11(2). DOI: https://doi: 10.1371/journal.pone.0148581
Rosenblau, G., Kliemann, D., Heekeren, H.R., and Dziobek, I. (2015). Approximating implicit and explicit mentalizing with two naturalistic video-based tasks in typical development and autism spectrum disorder. Journal of Autism and Developmental Disorders, 45(4), 953-965. DOI: https://doi: 10.1007/s10803-014-2249-9
Yang, D.Y., Rosenblau, G., Keifer, C., and Pelphrey, K.A. (2015). An integrative neural model of social perception, action observation, and theory of mind. Neuroscience and Biobehavioral Reviews, 51, 263-275. DOI: https://doi: 10.1016/j.neubiorev.2015.01.020.
Kliemann, D., Rosenblau, G., Bölte, S., Heekeren, H.R., and Dziobek, I. (2013). Face puzzle-two new video-based tasks for measuring explicit and implicit aspects of facial emotion recognition. Frontiers in Psychology, 4, 376. DOI: https://doi.org/10.3389/fpsyg.2013.00376
