Publikationen von Martin N. Hebart

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)

Badwal, M. W.; Bergmann, J.; Roth, J.; Doeller, C. F.; Hebart, M. N.: The scope and limits of fine-grained image and category information in the ventral visual pathway. The Journal of Neuroscience 45 (3), e0936242024 (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)

Contier, O.; Baker, C. I.; Hebart, M. N.: Distributed representations of behaviour-derived object dimensions in the human visual system. Nature Human Behaviour 8 (11), S. 2179 - 2193 (2024)

Stoinski, L. M.; Perkuhn, J.; Hebart, M. N.: THINGSplus: New norms and metadata for the THINGS database of 1854 object concepts and 26,107 natural object images. Behavior Research Methods 56 (3), S. 1583 - 1603 (2024)

Seeliger, K.; Hebart, M. N.: What comparing deep neural networks can teach us about human vision. Nature Machine Intelligence 6, S. 122 - 123 (2024)

Zheng, X. Y.; Hebart, M. N.; Grill, F.; Dolan, R. J.; Doeller, C. F.; Cools, R.; Garvert, M.: Parallel cognitive maps for multiple knowledge structures in the hippocampal formation. Cerebral Cortex 34 (2), bhad485 (2024)

Josephs, E. L.; Hebart, M. N.; Konkle, T.: Dimensions underlying human understanding of the reachable world. Cognition 234, 105368 (2023)

Kramer, M. A.; Hebart, M. N.; Baker, C. I.; Bainbridge, W. A.: The features underlying the memorability of objects. Science Advances 9 (17), eadd2981 (2023)

Hebart, M. N.; Contier, O.; Teichmann, L.; Rockter, A. H.; Zheng, C. Y.; Kidder, A.; Corriveau, A.; Vaziri-Pashkam, M.; Baker, C. I.: THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior. eLife 12, e82580 (2023)

Dima, D. C.; Hebart, M. N.; Isik, L.: A data-driven investigation of human action representations. Scientific Reports 13 (1), 5171 (2023)

Borghesani, V.; Armoza, J.; Hebart, M. N.; Bellec, P.; Brambati, S. M.: The Three Terms Task - An open benchmark to compare human and artificial semantic representations. Scientific Data 10 (1), 117 (2023)

Singer, J. J. D.; Cichy, R. M.; Hebart, M. N.: The spatiotemporal neural dynamics of object recognition for natural images and line drawings. The Journal of Neuroscience 43 (3), S. 484 - 500 (2023)

Kaniuth, P.; Hebart, M. N.: Feature-reweighted representational similarity analysis: A method for improving the fit between computational models, brains, and behavior. NeuroImage 257, 119294 (2022)

Singer, J.; Seeliger, K.; Kietzmann, T. C.; Hebart, M. N.: From photos to sketches-how humans and deep neural networks process objects across different levels of visual abstraction. Journal of Vision 22 (2), 4 (2022)

Grootswagers, T.; Zhou, I.; Robinson, A. K.; Hebart, M. N.; Carlson, T. A.: Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streams. Scientific Data 9 (1), 3 (2022)

Muttenthaler, L.; Hebart, M. N.: THINGSvision: A Python toolbox for streamlining the extraction of activations from deep neural networks. Frontiers in Neuroinformatics 15, 679838 (2021)

Liu, P.; Chrysidou, A.; Doehler, J.; Hebart, M. N.; Wolbers, T.; Kuehn, E.: The organizational principles of de-differentiated topographic maps in somatosensory cortex. eLife 10, e60090 (2021)