Publications of Martin N. Hebart

Journal Article (42)

2025
Journal Article
Schmidt, F., Hebart, M. N., Schmid, A. C., & Fleming, R. W. (2025). Core dimensions of human material perception. Proceedings of the National Academy of Sciences of the United States of America, 122. doi:10.1073/pnas.2417202122
Journal Article
Badwal, M. W., Bergmann, J., Roth, J., Doeller, C. F., & Hebart, M. N. (2025). The scope and limits of fine-grained image and category information in the ventral visual pathway. The Journal of Neuroscience, 45. doi:10.1523/JNEUROSCI.0936-24.2024
2024
Journal Article
Contier, O., Baker, C. I., & Hebart, M. N. (2024). Distributed representations of behaviour-derived object dimensions in the human visual system. Nature Human Behaviour, 8, 2179–2193.
Journal Article
Stoinski, L. M., Perkuhn, J., & Hebart, M. N. (2024). THINGSplus: New norms and metadata for the THINGS database of 1854 object concepts and 26,107 natural object images. Behavior Research Methods, 56, 1583–1603.
Journal Article
Seeliger, K., & Hebart, M. N. (2024). What comparing deep neural networks can teach us about human vision. Nature Machine Intelligence, 6, 122–123.
Journal Article
Zheng, X. Y., Hebart, M. N., Grill, F., Dolan, R. J., Doeller, C. F., Cools, R., & Garvert, M. (2024). Parallel cognitive maps for multiple knowledge structures in the hippocampal formation. Cerebral Cortex, 34. doi:10.1093/cercor/bhad485
2023
Journal Article
Josephs, E. L., Hebart, M. N., & Konkle, T. (2023). Dimensions underlying human understanding of the reachable world. Cognition, 234. doi:10.1016/j.cognition.2023.105368
Journal Article
Kramer, M. A., Hebart, M. N., Baker, C. I., & Bainbridge, W. A. (2023). The features underlying the memorability of objects. Science Advances, 9. doi:10.1126/sciadv.add2981
Journal Article
Hebart, M. N., Contier, O., Teichmann, L., Rockter, A. H., Zheng, C. Y., Kidder, A., … Baker, C. I. (2023). THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior. ELife, 12. doi:10.7554/eLife.82580
Journal Article
Dima, D. C., Hebart, M. N., & Isik, L. (2023). A data-driven investigation of human action representations. Scientific Reports, 13. doi:10.1038/s41598-023-32192-5
Journal Article
Borghesani, V., Armoza, J., Hebart, M. N., Bellec, P., & Brambati, S. M. (2023). The Three Terms Task - An open benchmark to compare human and artificial semantic representations. Scientific Data, 10. doi:10.1038/s41597-023-02015-3
Journal Article
Singer, J. J. D., Cichy, R. M., & Hebart, M. N. (2023). The spatiotemporal neural dynamics of object recognition for natural images and line drawings. The Journal of Neuroscience, 43, 484–500.
2022
Journal Article
Kaniuth, P., & Hebart, M. N. (2022). Feature-reweighted representational similarity analysis: A method for improving the fit between computational models, brains, and behavior. NeuroImage, 257. doi:10.1016/j.neuroimage.2022.119294
Journal Article
Singer, J., Seeliger, K., Kietzmann, T. C., & Hebart, M. N. (2022). From photos to sketches-how humans and deep neural networks process objects across different levels of visual abstraction. Journal of Vision, 22. doi:10.1167/jov.22.2.4
Journal Article
Grootswagers, T., Zhou, I., Robinson, A. K., Hebart, M. N., & Carlson, T. A. (2022). Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streams. Scientific Data, 9. doi:10.1038/s41597-021-01102-7
2021
Journal Article
Muttenthaler, L., & Hebart, M. N. (2021). THINGSvision: A Python toolbox for streamlining the extraction of activations from deep neural networks. Frontiers in Neuroinformatics, 15. doi:10.3389/fninf.2021.679838
Journal Article
Liu, P., Chrysidou, A., Doehler, J., Hebart, M. N., Wolbers, T., & Kuehn, E. (2021). The organizational principles of de-differentiated topographic maps in somatosensory cortex. ELife, 10. doi:10.7554/eLife.60090
2020
Journal Article
Hebart, M. N., Zheng, C. Y., Pereira, F., & Baker, C. I. (2020). Revealing the multidimensional mental representations of natural objects underlying human similarity judgements. Nature Human Behaviour, 4, 1173–1185.
Journal Article
Hebart, M. N., & Schuck, N. W. (2020). Current topics in computational cognitive neuroscience. Neuropsychologia, 147. doi:10.1016/j.neuropsychologia.2020.107621
Journal Article
Bönstrup, M., Iturrate, I., Hebart, M. N., Censor, N., & Cohen, L. G. (2020). Mechanisms of offline motor learning at a microscale of seconds in large-scale crowdsourced data. Npj Science of Learning, 5. doi:10.1038/s41539-020-0066-9
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