Hansen, H., & Hebart, M.N. (2022). Semantic features of object concepts generated with GPT-3. ArXiv. full text
Josephs, E., Hebart, M.N., & Konkle, T. (2021). Emergent dimensions underlying human understanding of the reachable world. PsyArXiv. full text
Kaniuth, P., & Hebart, M.N. (2021). Feature-reweighted representational similarity analysis: A method for improving the fit between computational models, brains, and behavior. bioRxiv. full text, code
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. full text
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. full text
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
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. 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
Hebart, M.N. & Schuck, N. (2020). Current topics in Computational Cognitive Neuroscience. Editorial to a special issue in Neuropsychologia. full text, pdf
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. full text
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
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
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
Hebart, M.N., & Baker, C.I. (2016). Facing up to stereotypes. Nature Neuroscience 19, 763–764. pdf
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
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
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
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
Hebart, M.N., & Hesselmann, G. (2012). What visual information is processed in the human dorsal stream? Journal of Neuroscience 32, 8107-8109. 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
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