Publications

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, 153(3), 814–826. https://doi.org/10.1037/xge0001530

Jeung, S., Cockx, H., Appelhoff, S., Berg, T., Gramann, K., Grothkopp, S., Warmerdam, E., Hansen, C., Oostenveld, R., BIDS Maintainers, & Welzel, J. (2024). Motion-BIDS: An extension to the brain imaging data structure to organize motion data for reproducible research. Scientific Data, 11, Article 716. https://doi.org/10.1038/s41597-024-03559-8

Linde-Domingo, J., & Spitzer, B. (2024). Geometry of visuospatial working memory information in miniature gaze patterns. Nature Human Behaviour, 8, 336–348. https://doi.org/10.1038/s41562-023-01737-z

Wenger, M., Maimon, A., Yizhar, O., Snir, A., Sasson, Y., & Amedi, A. (in press). Hearing temperatures: Employing machine learning for elucidating the cross-modal perception of thermal properties through audition. Frontiers in Psychology.

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

Keller, O., Appelhoff, S., Paffhausen, B. H., & Wenzel, T. (2023). Development and sharing of Open Science hardware: Lessons learned from Wikimedia fellowships. Research Ideas and Outcomes, 9, Article e95174. https://doi.org/10.3897/rio.9.e95174

Shvadron, S., Snir, A., Maimon, A., Yizhar, O., Harel, S., Poradosu, K., & Amedi, A. (2023). Shape detection beyond the visual field using a visual-to-auditory sensory augmentation device. Frontiers in Human Neuroscience, 17, Article 1058617. https://doi.org/10.3389/fnhum.2023.1058617

Yizhar, O., Tal, Z., & Amedi, A. (2023). Loss of action-related function and connectivity in the blind extrastriate body area. Frontiers in Neuroscience, 17, Article 973525. https://doi.org/10.3389/fnins.2023.973525

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

Arend, I., Yuen, K., Yizhar, O., Chebat, D.-R., & Amedi, A. (2022). Gyrification in relation to cortical thickness in the congenitally blind. Frontiers in Neuroscience, 16, Article 970878. https://doi.org/10.3389/fnins.2022.970878

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

Kerrén, C., van Bree, S., Griffiths, B. J., & Wimber, M. (2022). Phase separation of competing memories along the human hippocampal theta rhythm. eLife, 11, Article e80633. https://doi.org/10.7554/eLife.80633

Maimon, A., Yizhar, O., Buchs, G., Heimler, B., & Amedi, A. (2022). A case study in phenomenology of visual experience with retinal prosthesis versus visual-to-auditory sensory substitution. Neuropsychologia, 173, Article 108305. https://doi.org/10.1016/j.neuropsychologia.2022.108305

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

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

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

Spitzer, B., Waschke, L., & Summerfield, C. (2017). Selective overweighting of larger magnitudes during noisy numerical comparison. Nature Human Behaviour, 1(8), Article 0145. https://doi.org/10.1038/s41562-017-0145

Spitzer, B., Blankenburg, F., & Summerfield, C. (2016). Rhythmic gain control during supramodal integration of approximate number. NeuroImage, 129, 470–479. https://doi.org/10.1016/j.neuroimage.2015.12.024