Publications of Florian Mahner

Roth, J., Duan, Y., Mahner, F., Kaniuth, P., Wallis, T. S. A., & Hebart, M. N. (2025). Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience. Communications Psychology, 3. doi:10.1038/s44271-025-00236-3

Mahner, F., Muttenthaler, L., Güçlü, U., & Hebart, M. N. Dimensions that matter: Interpretable object dimensions in humans and deep neural networks. Poster presented at the 6th Annual Conference on Cognitive Computational Neuroscience (CCN), Oxford, United Kingdom. Retrieved from http://hdl.handle.net/21.11116/0000-000E-7612-9

Mahner, F., Seeliger, K., Umut, G., & Hebart, M. N. Learning cortical magnification with brain-optimized convolutional neural networks. Poster presented at the Conference on Cognitive Computational Neuroscience, San Francisco, CA, USA. Retrieved from http://hdl.handle.net/21.11116/0000-000B-1E5A-0

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