Verra, L., Spitzer, B., Schuck, N. W., & Zika, O. (2025). Increased Generalisation In Trait Anxiety Is Driven By Aversive Value Transfer Not Reduced Perceptual Discrimination PsyArXiv (preprint).
Muttenthaler, L., Greff, K., Born, F., Spitzer, B., Kornblith, S., Mozer, MC., Müller, K-R., Unterthiner, T., Lampinen, AK. (2025). Aligning machine and human visual representations across abstraction levels Nature.
Graham, T. A., & Spitzer, B. (2025). Asymmetric learning and adaptability to changes in relational structure during transitive inference Communications Psychology. ★ Highlighted
Born, F., & Spitzer, B. (2025). Long-term effects of working memory retrieval from prioritized and deprioritized states BioRxiv (preprint). ★ Highlighted
McClary T, Ciranka S., Buchberger E.S., Spitzer, B., Lindenberger U., Ngo, C.T., Werkle-Bergner, M. (2025). Generalization from early to middle childhood PsyArXiv (preprint).
Linde-Domingo, J., & Spitzer, B. (2024). Geometry of visuospatial working memory information in miniature gaze patterns Nature Human Behaviour. ★ Highlighted
Clarmann von Clarenau, V., Appelhoff, S., Pachur, T. & Spitzer, B. (2024). Over- and underweighting of extreme values in decisions from sequential samples Journal of Experimental Psychology: General.
Kerrén, C., Linde-Domingo, J., & Spitzer, B. (2023). Prioritization of semantic over visuo-perceptual aspects in multi-item working memory BioRxiv (preprint).
Appelhoff, S., Hertwig, R., & Spitzer, B. (2023). Control over sampling boosts numerical evidence processing in human decisions from experience Cerebral Cortex.
Ciranka, S., Linde-Domingo, J., Padezhki, I., Wicharz, C., Wu, C. M., Spitzer, B. (2022). Asymmetric reinforcement learning facilitates human inference of transitive relations. Nature Human Behaviour.
Appelhoff, S., Hertwig, R., & Spitzer, B. (2022). EEG-representational geometries and psychometric distortions in approximate numerical judgment PLoS Computational Biology.
Kang, Z., & Spitzer, B. (2021). Concurrent visual working memory bias in sequential integration of approximate number Scientific Reports.
Juechems, K.*, Balaguer, J.*, Spitzer, B.*, & Summerfield, C.* (2021). Optimal utility and probability functions for agents with finite computational precision PNAS: Proceedings of the National Academy of Sciences of the United States of America.
Luyckx, F., Spitzer, B., Blangero, A., Tsetsos K., Summerfield, C. (2020). Selective Integration during Sequential Sampling in Posterior Neural Signals Cerebral Cortex.
Luyckx, F., Nili, H., Spitzer, B., & Summerfield, C. (2019). Neural structure mapping in human probabilistic reward learning eLife.
Herding, J., Ludwig, S., von Lautz, A., Spitzer, B., & Blankenburg, F. (2019). Centro-parietal EEG potentials index subjective evidence and difficulty during perceptual decision making NeuroImage.
Spitzer, B., Waschke, L., & Summerfield, C. (2017). Selective overweighting of larger magnitudes during noisy numerical comparison Nature Human Behaviour.
Spitzer, B.*, & Haegens, S.* (2017). Beyond the status quo: A role for beta oscillations in endogenous content (re)activation eNeuro.
Christophel, C., Klink, P.C., Spitzer, B., Roelfsema, P.R., Haynes, J.D. (2017). The distributed nature of working memory Trends in Cognitive Sciences.
Spitzer, B., Blankenburg, F., Summerfield, C. (2016). Rhythmic gain control during supramodal integration of approximate number Neuroimage.
Herding, J., Spitzer, B., Blankenburg, F. (2016). Upper beta band oscillations in human premotor cortex encode subjective choices in a vibrotactile comparison task Journal of Cognitive Neuroscience.
Spitzer, B., Fleck, S., Blankenburg, F. (2014). Parametric alpha-and beta-band signatures of supramodal numerosity information in human working memory Journal of Neuroscience.