Publikationen

Hofmann, S.; Ciston, A.; Koushik, A.; Klotzsche, F.; Hebart, M. N.; Mueller, K.-R.; Villringer, A.; Scherf, N.; Hilsmann, A.; Nikulin, V. V. et al.; Gaebler, M.: Dynamic presentation in 3D modulates face similarity judgements: A human-aligned encoding model approach. Royal Society Open Science 13 (7), 251515 (2026)

van Dyck, L.; Hebart, M. N.; Dobs, K.: Multidimensional feature tuning in category-selective areas of human visual cortex. The Journal of Neuroscience (2026)

Sulewski, P.; Amme, C.; Hebart, M. N.; König, P.; Kietzmann, T. C.: Fixation duration on natural scenes is explained by memory encoding not processing demand. Nature Neuroscience 29 (6), S. 1488 - 1497 (2026)

Linde-Domingo, J.; Ortiz-Tudela, J.; Völler, J.; Hebart, M. N.; González-García, C.: Determinants of visual ambiguity resolution. Communications Psychology 4 (1), 78 (2026)

Teichmann, L.; Hebart, M. N.; Baker, C. I.: Dynamic representation of multidimensional object properties in the human brain. The Journal of Neuroscience 46 (9), e1057252026 (2026)

Mukherjee, K.; Huey, H.; Stoinski, L.; Hebart, M. N.; Fan, J. E.; Bainbridge, W. A.: Drawings of THINGS: A large-scale drawing dataset of 1854 object concepts. Behavior Research Methods 58 (2), 57 (2026)

St. Laurent, M.; Pinsard, B.; Contier, O.; DuPre, E.; Seeliger, K.; Borghesani, V.; Boyle, J. A.; Bellec, L.; Hebart, M. N.: CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neuroscience. Scientific Data 13 (1), 141 (2026)

Kaemmer, L.; Kroell, L. M.; Knapen, T.; Rolfs, M.; Hebart, M. N.: Feedback of peripheral saccade targets to early foveal cortex. eLife 14, RP107053 (2026)

Nortmann, T.; Sulewski, P.; Kietzmann, T. C.: Predictive remapping and allocentric coding as consequences of energy efficiency in recurrent neural network models of active vision. Patterns 7 (1), 101422 (2026)

van Bree, S.; Poeppel, D.: Top-down and bottom-up neuroscience as collections of practices. Nature Reviews Neuroscience 27 (1), 79 (2026)

Muttenthaler, L.; Greff, K.; Born, F.; Spitzer, B.; Kornblith, S.; Mozer, M. C.; Müller, K.-R.; Unterthiner, T.; Lampinen, A. K.: Aligning machine and human visual representations across abstraction levels. Nature 647 (8089), S. 349 - 355 (2025)

Bockes, A.; Hebart, M. N.; Lingnau, A.: Revealing key dimensions underlying the recognition of dynamic human actions. Communications Psychology 3 (1), 149 (2025)

Mahner, F.; Muttenthaler, L.; Güçlü, U.; Hebart, M. N.: Dimensions underlying the representational alignment of deep neural networks with humans. Nature Machine Intelligence 7 (6), S. 848 - 859 (2025)

Gao, C.; Ajith, S.; Peelen, M. V.: Object representations drive emotion schemas across a large and diverse set of daily-life scenes. Communications Biology 8 (1), 697 (2025)

van Bree, S.; Levenstein, D.; Krause, M. R.; Voytek, B.; Gao, R.: Processes and measurements: A framework for understanding neural oscillations in field potentials. Trends in Cognitive Sciences 29 (5), S. 448 - 466 (2025)

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

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)

Hebart, M. N.: How modular are modules in visual cortex? Brain (2025)

Schmidt, F.; Hebart, M. N.; Schmid, A. C.; Fleming, R. W.: Core dimensions of human material perception. Proceedings of the National Academy of Sciences of the United States of America 122 (10), e2417202122 (2025)

Singer, J.; Karapetian, A.; Hebart, M. N.; Cichy, R. M.: Identifying and characterizing scene representations relevant for categorization behavior. Imaging Neuroscience 3, imag_a_00449 (2025)