Publikationen von Florian Mahner

Roth, J.; Duan, Y.; Mahner, F.; Kaniuth, P.; Wallis, T. S. A.; Hebart, M. N.: Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience. Communications Psychology 3 (1), 62 (2025)

Mahner, F.; Muttenthaler, L.; Güçlü, U.; Hebart, M. N.: Dimensions that matter: Interpretable object dimensions in humans and deep neural networks. 6th Annual Conference on Cognitive Computational Neuroscience (CCN), Oxford, United Kingdom (2023)

Mahner, F.; Seeliger, K.; Umut, G.; Hebart, M. N.: Learning cortical magnification with brain-optimized convolutional neural networks. Conference on Cognitive Computational Neuroscience, San Francisco, CA, USA (2022)

Kaniuth, P.; Mahner, F.; Perkuhn, J.; Hebart, M. N.: A high-throughput approach for the efficient prediction of perceived similarity of natural objects. bioRxiv (2024)