Publications of Martin N. Hebart

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. doi:10.1371/journal.pone.0223792

Hebart, M. N., & Baker, C. I. (2018). Deconstructing multivariate decoding for the study of brain function. NeuroImage, 180, 4–18.

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, 178, 172–182.

Hebart, M. N., Bankson, B. B., Harel, A., Baker, C. I., & Cichy, R. M. (2018). The representational dynamics of task and object processing in humans. ELife, 7. doi:10.7554/eLife.32816

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, 180, 19–30.

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. The Journal of Neuroscience, 36, 12650–12660.

Korjus, K., Hebart, M. N., & Vicente, R. (2016). An efficient data partitioning to improve classification performance while keeping parameters interpretable. PLoS One, 11. doi:10.1371/journal.pone.0161788

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

Guggenmos, M., Wilbertz, G., Hebart, M. N., & Sterzer, P. (2016). Mesolimbic confidence signals guide perceptual learning in the absence of external feedback. ELife, 5. doi:10.7554/eLife.13388

Hebart, M. N., Schriever, Y., Donner, T. H., & Haynes, J.-D. (2016). The relationship between perceptual decision variables and confidence in the human brain. Cerebral Cortex, 26, 118–130.

Höhne, J., Bartz, D., Hebart, M. N., Müller, K.-R., & Blankertz, B. (2015). Analyzing neuroimaging data with subclasses: A shrinkage approach. NeuroImage, 124, 740–751.

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.

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.

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, 8. doi:10.3389/fninf.2014.00088

Hebart, M. N., & Gläscher, J. (2015). Serotonin and dopamine differentially affect appetitive and aversive general Pavlovian-to-instrumental transfer. Psychopharmacology, 232, 437–451 .

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

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

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.

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

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