Publications of Martin N. Hebart

Poster (23)

2020
Poster
Kaniuth, P., & Hebart, M. N. Tuned representational similarity analysis: Improving the fit between computational models of vision and brain data. Poster presented at the Vision Sciences Society Annual Meeting 2020, Virtual. Retrieved from http://hdl.handle.net/21.11116/0000-000A-E2EE-B

Preprint (10)

2025
Preprint
Teichmann, L., Hebart, M. N., & Baker, C. I. (2025, February 28). Dynamic representation of multidimensional object properties in the human brain. BioRxiv. doi:10.1101/2023.09.08.556679
Preprint
Kaemmer, L., Kroell, L. M., Knapen, T., Rolfs, M., & Hebart, M. N. (2025, February 25). Decoding peripheral saccade targets from foveal retinotopic cortex. BioRxiv. doi:10.1101/2025.02.20.639262
2024
Preprint
Kaniuth, P., Mahner, F., Perkuhn, J., & Hebart, M. N. (2024, December 22). A high-throughput approach for the efficient prediction of perceived similarity of natural objects. BioRxiv. doi:10.1101/2024.06.28.601184
Preprint
Amme, C., Sulewski, P., Spaak, E., Hebart, M. N., König, P., & Kietzmann, T. C. (2024, October 26). Saccade onset, not fixation onset, best explains early sensory responses across the human visual cortex during naturalistic vision. BioRxiv. doi:10.1101/2024.10.25.620167
Preprint
Hofmann, S., Ciston, A., Koushik, A., Klotzsche, F., Hebart, M. N., Müller, K.-R., … Gaebler, M. (2024, September 16). Human-aligned deep and sparse encoding models of dynamic 3D face similarity perception. PsyArXiv. doi:10.31234/osf.io/f62pw
Preprint
Singer, J. J. D., Karapetian, A., Hebart, M. N., & Cichy, R. M. (2024, July 13). Identifying and characterizing scene representations relevant for categorization behavior. BioRxiv. doi:10.1101/2023.08.17.553708
Preprint
Contier, O., Baker, C. I., & Hebart, M. N. (2024, July 11). Distributed representations of behavior-derived object dimensions in the human visual system. BioRxiv. doi:10.1101/2023.08.23.553812
2022
Preprint
Muttenthaler, L., Zheng, C. Y., McClure, P., Vandermeulen, R. A., Hebart, M. N., & Pereira, F. (2022, May 30). VICE: Variational Interpretable Concept Embeddings. ArXiv. doi:10.48550/arXiv.2205.00756
2019
Preprint
Zheng, C. Y., Pereira, F., Baker, C. I., & Hebart, M. N. (2019, January 9). Revealing interpretable object representations from human behavior. ArXiv. Retrieved from http://hdl.handle.net/21.11116/0000-0005-3920-7
2017
Preprint
Görgen, K., Hebart, M. N., Allefeld , C., & Haynes, J.-D. (2017, March 20). The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods. ArXiv. Retrieved from http://hdl.handle.net/21.11116/0000-0005-20DB-0
Go to Editor View