SCHÜTT Heiko

University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) > Cognitive Science and Assessment

: 0000-0002-2491-5710

Main Referenced Co-authors

Ma, Wei Ji (2)

Diedrichsen, Jörn (1)

Gebhart, Thomas (1)

Kay, Kendrick (1)

Kim, Dongjae (1)

Main Referenced Keywords

Humans (2); Neural Networks, Computer (2); Neuroscience (all) (2); Animals (1); Bayesian (1);

Main Referenced Disciplines

Neurosciences & behavior (4)

Theoretical & cognitive psychology (1)

Publications (total 5)

Search in publications

The most downloaded

79 downloads

Kuperwajs, I., SCHÜTT, H., & Ma, W. J. (20 November 2023). Using deep neural networks as a guide for modeling human planning. Scientific Reports, 13 (1), 20269. doi:10.1038/s41598-023-46850-1 https://hdl.handle.net/10993/57710

The most cited

21 citations (OpenAlex)

SCHÜTT, H., Kipnis, A. D., Diedrichsen, J., & Kriegeskorte, N. (23 August 2023). Statistical inference on representational geometries. eLife, 12. doi:10.7554/eLife.82566 https://hdl.handle.net/10993/57104

SCHÜTT, H. (31 July 2025). Bayesian Comparisons Between Representations [Paper presentation]. Computational Cognitive Neuroscience Conference Proceedings, Amsterdam, Netherlands.

https://hdl.handle.net/10993/65580

Peer reviewed

Kay, K., Prince, J. S., Gebhart, T., Tuckute, G., Zhou, J., Naselaris, T., & SCHÜTT, H. (21 July 2025). Disentangling signal and noise in neural responses through generative modeling. PLoS Computational Biology, 21 (7), 1012092. doi:10.1371/journal.pcbi.1012092

https://hdl.handle.net/10993/65430

Peer Reviewed verified by ORBi

SCHÜTT, H.* , Kim, D.* , & Ma, W. J. (July 2024). Reward prediction error neurons implement an efficient code for reward. Nature Neuroscience, 27 (7), 1333 - 1339. doi:10.1038/s41593-024-01671-x

https://hdl.handle.net/10993/63161

Peer Reviewed verified by ORBi

* These authors have contributed equally to this work.

Kuperwajs, I., SCHÜTT, H., & Ma, W. J. (20 November 2023). Using deep neural networks as a guide for modeling human planning. Scientific Reports, 13 (1), 20269. doi:10.1038/s41598-023-46850-1

https://hdl.handle.net/10993/57710

Peer Reviewed verified by ORBi

SCHÜTT, H., Kipnis, A. D., Diedrichsen, J., & Kriegeskorte, N. (23 August 2023). Statistical inference on representational geometries. eLife, 12. doi:10.7554/eLife.82566

https://hdl.handle.net/10993/57104

Peer Reviewed verified by ORBi