Publikationen von Bernhard Spitzer

Appelhoff, S., Hertwig, R., & Spitzer, B. (2023). Control over sampling boosts numerical evidence processing in human decisions from experience. Cerebral Cortex, 33(1), 207–221. https://doi.org/10.1093/cercor/bhac062

Appelhoff, S., Hertwig, R., & Spitzer, B. (2022). EEG-representational geometries and psychometric distortions in approximate numerical judgment. PLoS Computational Biology, 18(12), Article e1010747. https://doi.org/10.1371/journal.pcbi.1010747

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, 6, 555–564. https://doi.org/10.1038/s41562-021-01263-w

Juechems, K., Balaguer, J., Spitzer, B., & Summerfield, C. (2021). Optimal utility and probability functions for agents with finite computational precision. Proceedings of the National Academy of Sciences of the United States of America, 118(2), Article e2002232118. https://doi.org/10.1073/pnas.2002232118

Kang, Z., & Spitzer, B. (2021). Concurrent visual working memory bias in sequential integration of approximate number. Scientific Reports, 11, Article 5348. https://doi.org/10.1038/s41598-021-84232-7

Luyckx, F., Spitzer, B., Blangero, A., Tsetsos, K., & Summerfield, C. (2020). Selective integration during sequential sampling in posterior neural signals. Cerebral Cortex, 30(8), 4454–4464. https://doi.org/10.1093/cercor/bhaa039

Herding, J., Ludwig, S., von Lautz, A., Spitzer, B., & Blankenburg, F. (2019). Centro-parietal EEG potentials index subjective evidence and confidence during perceptual decision making. NeuroImage, 201, Article 116011. https://doi.org/10.1016/j.neuroimage.2019.116011

Luyckx, F., Nili, H., Spitzer, B., & Summerfield, C. (2019). Neural structure mapping in human probabilistic reward learning. eLife, 8, Article e42816. https://doi.org/10.7554/eLife.42816

MacDonald, H. J., Brittain, J.-S., Spitzer, B., Hanslmayr, S., & Jenkinson, N. (2019). Memory deficits in Parkinson’s disease are associated with reduced beta power modulation. Brain Communications, 1(1), Article fcz040. https://doi.org/10.1093/braincomms/fcz040

Spitzer, B., & Haegens, S. (2017). Beyond the status quo: A role for beta oscillations in endogenous content (re)activation. eNeuro, 4(4), Article ENEURO.0170-17.2017. https://doi.org/10.1523/ENEURO.0170-17.2017