For a full list of my publications see my Google Scholar profile
Some selected publications:
Schütt, H. H., Kipnis, A. D. , Diedrichsen, J. , and Kriegeskorte, N. (2023). Statistical inference on representational geometries. eLife, 12:e82566.
https://doi.org/10.7554/eLife.82566
Schütt, H. H., Yoo, A. H. , Calder-Travis, J. , and Ma, W. J. (2023). Point estimate observers: A new class of models for perceptual decision making. Psychological Review, 130:334–367.
https://psycnet.apa.org/doi/10.1037/rev0000402
Diedrichsen, J., Berlot, E., Mur, M., Schütt, H. H., Shahbazi, M., Kriegeskorte, N. (2021). Comparing representational geometries using whitend unbiased distance-matrix similarity. Neurons, Behavior, Data analysis, and Theory.
https://arxiv.org/abs/2007.02789
Schütt, H. H., Harmeling, S., Macke, J. H., & Wichmann, F. A. (2016). Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data. Vision Research, 122, 105–123.
https://doi.org/10.1016/j.visres.2016.02.002
Schütt, H. H., Rothkegel, L. O. M., Trukenbrod, H. A., Engbert, R., & Wichmann, F. A. (2019). Disentangling bottom-up versus top-down and low-level versus high-level influences on eye movements over time. Journal of Vision, 19(3), 1–23.
https://doi.org/10.1167/19.3.1
Geirhos, R., Temme, C. R. M., Rauber, J., Schütt, H. H., Bethge, M., & Wichmann, F. A. (2018). Generalisation in humans and deep neural networks. In S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, & R. Garnett (Eds.), Advances in Neural Information Processing Systems 31 (pp. 7538–7550).
http://papers.nips.cc/paper/7982-generalisation-in-humans-and-deep-neural-networks.pdf
Schütt, H. H., Rothkegel, L. O. M., Trukenbrod, H. A., Reich, S., Wichmann, F. A., & Engbert, R. (2017). Likelihood-based parameter estimation and comparison of dynamical cognitive models. Psychological Review, 124(4), 505–524.
https://doi.org/10.1037/rev0000068
Schütt, H. H., & Wichmann, F. A. (2017). An image-computable psychophysical spatial vision model. Journal of Vision, 17(12), 12:1-35.
https://doi.org/10.1167/17.12.12