Preprints

Mahner, F.P., Lam, K.C., Pereira, F., & Hebart, M.N. (2026). Similarity-based representation factorization for revealing interpretable dimensions in representational data. arXiv. full text

Mahner, F.P., Roth, J., Lam, K.C., Bonner, M.F., Pereira, F., & Hebart, M.N. (2026). Characterizing universal object representations across vision models. arXiv. full text

van Bree, S., & Hebart, M.N. (2026). Shared and distinct object spaces in human and macaque inferotemporal cortex. bioRxiv. full text

Stoinski, L.M., Konkle, T., & Hebart, M.N. (2026). Principles of coarse-scale functional organization in occipitotemporal cortex. bioRxiv. full text

Roswandowitz, C., Mahner, F.P., Hebart, M.N., & Dellwo, V. (2026). Core dimensions of the perceptually relevant voice identity space. PsyArXiv. full text

Cortinovis, D., Hebart, M.N., & Bracci, S. (2026). Encoding models uncover fine-grained feature selectivity for bodies, hands and tools. bioRxiv. full text

van Bree, S., Styrnal, M., & Hebart, M.N. (2025). How much variance does your model explain? A clarifying note on the use of split-half reliability for computing noise ceilings. PsyArXiv. full text

Karkowski, K., Kehl, M.S., Qin, Y., Darcher, A., Karkowski, P., Borger, V., Surges, R., Hebart, M.N., Reber, T.P., Dehaene, S., Lakretz, Y., & Mormann, F. (2025). Semantic tuning of single neurons in the human medial temporal lobe. bioRxiv. full text

Amme, C., Sulewski, P., Spaak, E., Hebart, M.N., König, P., & Kietzmann, T.C. (2024). Saccade onset, not fixation onset, best explains early responses across the human visual cortex during naturalistic vision. bioRxiv. full text

2026

Ribeiro, F.L., Satzger, R., Hoffstaedter, F., Bürger, C., Herholz, P., Linhardt, D., Benson, N.C., Schwarzkopf, D.S., Puckett, A.M., Bollmann, S.*, & Hebart, M.N.* (2026). Predicting functional topography of the human visual cortex from cortical anatomy at scale. eLife. full text

Kämmer, L., Kroell, L.M., Knapen, T., Rolfs, M., & Hebart, M.N. (2026). Feedback of peripheral saccade targets to early foveal cortex. eLife 14, RP107053. full text

van Dyck, L.E., Hebart, M.N.*, & Dobs, K.* (2026). Multidimensional feature tuning in category-selective areas of human visual cortex. Journal of Neuroscience. full text

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

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

Teichmann, L., Hebart, M.N., & Baker, C.I. (2026). Dynamic representation of multidimensional object properties in the human brain. Journal of Neuroscience 46, e1057252026. full text

Mukherjee, K., Huey, H., Stoinski, L.M., Hebart, M.N.*, Fan, J.E.*, & Bainbridge, W.A.* (2026). Drawings of THINGS: A large-scale drawing dataset of 1,854 object concepts. Behavior Research Methods 58, 57. full text

Linde-Domingo, J.*, Ortiz-Tudela, J.*, Völler, J., Hebart, M.N., & González-García, C. (2026). Determinants of visual ambiguity resolution. Communications Psychology 4, 78. full text

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

2025

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 122, e2417202122. full text

Mahner, F.P.*, Muttenthaler, L.*, Güçlü, U., & Hebart, M.N. (2025). Dimensions underlying the representational alignment of deep neural networks with humans. Nature Machine Intelligence 7, 848-859. full text

Kaniuth, P., Mahner, F.P., Perkuhn, J., & Hebart, M.N. (2025). A high-throughput approach for the efficient prediction of perceived similarity of natural objects. eLife. full text

Badwal, M.W., Bergmann, J., Roth, J.H., Doeller, C.F.*, & Hebart, M.N.* (2025). The scope and limits of fine-grained image and category information in the ventral visual pathway. Journal of Neuroscience 45, e0936242024. full text

Sucholutsky, I.*, Muttenthaler, L.*, Weller, A., Peng, A., Bobu, A., Kim, B., Love, B.C., Cueva, C.J., Grant, E., Groen, I., Achterberg, J., Tenenbaum, J.B., Collins, K.M., Hermann, K.L., Oktar, K., Greff, K., Hebart, M.N., Cloos, N., Kriegeskorte, N., Jacoby, N., Zhang, Q., Marjieh, R., Geirhos, R., Chen, S., Kornblith, S., Rane, S., Konkle, T., O'Connell, T.P., Unterthiner, T., Lampinen, A.K., Müller, K.-R., Toneva, M., & Griffiths, T.L. (2025). Getting aligned on representational alignment. Transactions on Machine Learning Research. full text

Singer, J.J.D., Karapetian, A., Hebart, M.N.*, & Cichy, R.M.* (2025). Identifying and characterizing scene representations relevant for categorization behavior. Imaging Neuroscience 3, imag_a_00449. full text

Roth, J., Duan, Y., Mahner, F.P., 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, 62. full text

Roth, J., & Hebart, M.N. (2025). How to sample the world for understanding the visual system. Proceedings of the 8th Annual Conference on Cognitive Computational Neuroscience. full text

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

2024

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. full text

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

Stoinski, L.M., Perkuhn, J., & Hebart, M.N. (2024). THINGSplus: New norms and metadata for the THINGS database of 1,854 object concepts and 26,107 natural object images. Behavior Research Methods 56, 1583-1603. full text

Richie, R., Ajmal, N., & Hebart, M.N. (2024). Unrealized promise of joint modeling of choice and reaction time in improving representation learning. Proceedings of the Annual Meeting of the Cognitive Science Society 46. full text

2023

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

Singer, J.J.D., Cichy, R.M.*, & Hebart, M.N.* (2023). The spatiotemporal neural dynamics of object recognition for natural images and line drawings. Journal of Neuroscience 43, 484-500. full text, code, fMRI data, MEG data

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

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, 117. full text

Hebart, M.N. (2023). Revealing interpretable object representations from human visual cortex and artificial neural networks. Proceedings of the 11th International Winter Conference on Brain-Computer Interface. IEEE. full text

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

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

2022

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, 119294. full text, code

Muttenthaler, L., Zheng, C.Y., McClure, P., Vandermeulen, R.A., Hebart, M.N., & Pereira, F. (2022). VICE: Variational interpretable concept embeddings. Advances in Neural Information Processing Systems 35, 33661-33675. full text, code

Grootswagers, T., Zhou, I., Robinson, A.K., Hebart, M.N., & Carlson, T.A. (2022). THINGS-EEG: Human electroencephalography recordings for 1,854 concepts presented in rapid serial visual presentation streams. Scientific Data 9, 3. full text, data & code

Singer, J.J.D., 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, 4. full text

Hansen, H., & Hebart, M.N. (2022). Semantic features of object concepts generated with GPT-3. Proceedings of the Annual Meeting of the Cognitive Science Society 44. full text, code

2021

Muttenthaler, L., & Hebart, M.N. (2021). THINGSvision: A Python toolbox for streamlining the extraction of activations from deep neural networks. Frontiers in Neuroinformatics 15, 45. full text, toolbox link

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, e60090. full text

2020

Hebart, M.N., Zheng, C.Y., Pereira, F., & Baker, C.I. (2020). Revealing the multidimensional mental representations of natural objects underlying human similarity judgments. Nature Human Behaviour 4, 1173–1185. full text, free version, preprint, data and code

News & Views about our work: Riesenhuber, M. (2020). How the mind sees the world. Nature Human Behaviour. full text

Spotlight about our work: Love, B., & Roads, B. (2021). Similarity as a window on the dimensions of object representation. Trends in Cognitive Sciences full text

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. Science of Learning 5, 7. full text

2019

Hebart, M.N., Dickter, A.H., Kidder, A., Kwok, W.Y., Corriveau, A., Van Wicklin, C, & Baker, C.I. (2019). THINGS: A database of 1,854 object concepts and more than 26,000 naturalistic object images. PLoS ONE 14(10):e0223792. full text, database (OSF)

Zheng, C.Y., Pereira, F., Baker, C.I., & Hebart, M.N. (2019). Revealing interpretable object representations from human behavior. ICLR 2019. full text

2018

Bankson, B.B.*, Hebart, M.N.*, Groen, I.I.A., & Baker, C.I.* (2018). The temporal evolution of conceptual object representations revealed through models of behavior, semantics and deep neural networks. Neuroimage. pdf

Hebart, M.N., Bankson, B.B., Harel, A., Baker, C.I.*, & Cichy, R.M.* (2018). Representational dynamics of task context and its influence on visual object processing. eLife 7:e32816. full text, data and code

2017

Hebart, M.N., & Baker, C.I. (2017). Deconstructing multivariate decoding for the study of brain function. Neuroimage. full text

Görgen, K., Hebart, M.N., Allefeld, C., & Haynes, J.-D. (2017). The Same Analysis Approach: Practical protection against the pitfalls of novel neuroimaging analysis methods. Neuroimage. full text

2016

Guggenmos, M., Wilbertz, G., Hebart, M.N.*, & Sterzer, P.* (2016). Mesolimbic confidence signals guide perceptual learning in the absence of external feedback. eLife 5, e13388. full text

Guo, R., Böhmer, W., Hebart, M.N., Chien, S., Sommer, T., Obermayer, K., & Gläscher, J. (2016). Interaction of instrumental and goal-directed learning modulates prediction error representations in the ventral striatum. Journal of Neuroscience 36, 12650-12660. pdf

Korjus, K., Hebart, M.N., & Vicente, R. (2016). An efficient data partitioning to improve classification performance while keeping parameters interpretable. PloS one 11, e0161788. full text

Höhne, J., Bartz, D., Hebart, M.N., Müller, K.-R., & Blankertz, B. (2016). Analyzing neuroimaging data with subclasses: A shrinkage approach. Neuroimage 124, 740-751. pdf

2015

Hebart, M.N.*, Görgen, K.*, & Haynes, J.-D. (2015). The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data. Frontiers in Neuroinformatics. full text toolbox homepage

Christophel, T.B., Cichy, R.M., Hebart, M.N., & Haynes, J.-D. (2015). Parietal and early visual cortices encode working memory content across mental transformations. Neuroimage 106, 198-206. pdf

Peth, J., Sommer, T., Hebart, M.N., Vossel, G., Büchel, C., & Gamer, M. (2015). Memory detection using fMRI — Does the encoding context matter? Neuroimage 113, 164-174. pdf

2014

Hebart, M.N., Schriever, Y., Donner, T.H.*, & Haynes, J.-D.* (2014). The relationship between perceptual decision variables and confidence in the human brain. Cerebral Cortex. pdf

Hebart, M.N., & Gläscher, J. (2014). Serotonin and dopamine differentially affect appetitive and aversive general Pavlovian-to-instrumental transfer Psychopharmacology 232, 437-451. pdf

Ritter, C., Hebart, M.N., Wolbers, T., & Bingel, U. (2014). Representation of spatial information in key areas of the descending pain modulatory system. Journal of Neuroscience 34, 4634-4639. pdf

Stein, T., Seymour, K., Hebart, M.N., & Sterzer, P. (2014). Rapid fear detection relies on high spatial frequencies. Psychological Science 25, 566-574. pdf

2012

Hebart, M.N., Donner, T.H.*, & Haynes, J.-D.* (2012). Human visual and parietal cortex encode visual choices independent of motor plans. Neuroimage 63, 1393-1403. pdf

Christophel, T.B., Hebart, M.N., & Haynes, J.-D. (2012). Decoding the contents of visual short-term memory from human visual and parietal cortex. Journal of Neuroscience 32, 12983-12989. pdf

2011

Stein, T., Hebart, M.N., & Sterzer, P. (2011). Breaking continuous flash suppression: A new measure of unconscious processing during interocular suppression? Frontiers in Human Neuroscience, 5, 167. full text

Hesselmann, G., Hebart, M., & Malach, R. (2011). Differential BOLD activity associated with subjective and objective reports during “blindsight” in normal observers. Journal of Neuroscience, 31, 12936-12944. pdf

Commentaries

Hebart, M.N. (2025). How modular are modules in visual cortex? Brain 148, 1050-1051. full text

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

Hebart, M.N., & Schuck, N.W. (2020). Current topics in computational cognitive neuroscience. Neuropsychologia 147, 107621. full text, pdf

Hebart, M.N., & Baker, C.I. (2016). Facing up to stereotypes. Nature Neuroscience 19, 763-764. full text, pdf

Hebart, M.N., & Hesselmann, G. (2012). What visual information is processed in the human dorsal stream? Journal of Neuroscience 32, 8107-8109. full text, pdf