Publikationen von Martin N. Hebart

Zeitschriftenartikel (30)

2015
Zeitschriftenartikel
Christophel, T. B.; Cichy, R. M.; Hebart, M. N.; Haynes, J.-D.: Parietal and early visual cortices encode working memory content across mental transformations. NeuroImage 106, S. 198 - 206 (2015)
Zeitschriftenartikel
Hebart, M. N.; Görgen, K.; Haynes, J.-D.: The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data. Frontiers in Neuroinformatics 8, 88 (2015)
Zeitschriftenartikel
Hebart, M. N.; Gläscher, J.: Serotonin and dopamine differentially affect appetitive and aversive general Pavlovian-to-instrumental transfer. Psychopharmacology 232 (2), S. 437 - 451 (2015)
2014
Zeitschriftenartikel
Ritter, C.; Hebart, M. N.; Wolbers, T.; Bingel, U.: Representation of spatial information in key areas of the descending pain modulatory system. The Journal of Neuroscience 34 (13), S. 4634 - 4639 (2014)
Zeitschriftenartikel
Stein, T.; Seymour, K.; Hebart, M. N.; Sterzer, P.: Rapid fear detection relies on high spatial frequencies. Psychological Science 25 (2), S. 566 - 574 (2014)
2012
Zeitschriftenartikel
Hebart, M. N.; Donner, T. H.; Haynes, J.-D.: Human visual and parietal cortex encode visual choices independent of motor plans. NeuroImage 63 (3), S. 1393 - 1403 (2012)
Zeitschriftenartikel
Christophel, T. B.; Hebart, M. N.; Haynes, J.-D.: Decoding the contents of visual short-term memory from human visual and parietal cortex. The Journal of Neuroscience 32 (38), S. 12983 - 12989 (2012)
Zeitschriftenartikel
Hebart, M. N.; Hesselmann, G.: What visual information is processed in the human dorsal stream? The Journal of Neuroscience 32 (24), S. 8107 - 8109 (2012)
2011
Zeitschriftenartikel
Stein, T.; Hebart, M. N.; Sterzer, P.: Breaking continuous flash suppression: A new measure of unconscious processing during interocular suppression? Frontiers in Human Neuroscience 5, 167 (2011)
Zeitschriftenartikel
Hesselmann, G.; Hebart, M. N.; Malach, R.: Differential BOLD activity associated with subjective and objective reports during “Blindsight” in normal observers. The Journal of Neuroscience 31 (36), S. 12936 - 12944 (2011)

Konferenzbeitrag (1)

2022
Konferenzbeitrag
Hansen, H.; Hebart, M. N.: Semantic features of object concepts generated with GPT-3. In: Proceedings of the Annual Meeting of the Cognitive Science Society, Bd. 44. (2022)

Meeting Abstract (3)

2021
Meeting Abstract
Schmidt, F.; Hebart, M. N.; Schmid, A.; Fleming, R. W.: The mental representation of materials distilled from >1.5 million similarity judgements. In Journal of Vision, 21, 1981. Scholar One, Inc., Charlottesville, VA (2021)
Meeting Abstract
Seeliger, K.; Roth, J.; Schmid, T.; Hebart, M. N.: Synthesizing preferred stimuli for individual voxels in the human visual system. In Journal of Vision, 21, 2311. Scholar One, Inc., Charlottesville, VA (2021)
2020
Meeting Abstract
Kaniuth, P.; Hebart, M. N.: Tuned representational similarity analysis: Improving the fit between computational models of vision and brain data. In Journal of Vision, 20, 1076. Vision Sciences Society Annual Meeting 2020, 19. Juni 2020 - 24. Juni 2020. Scholar One, Inc., Charlottesville, VA (2020)

Vortrag (10)

2022
Vortrag
Hebart, M. N.: Revealing the core dimensions underlying mental representations of objects. CRC Workshop on Cardinal Mechanisms of Perception, Rauischholzhausen Castle, Germany (2022)
Vortrag
Hansen, H.; Hebart, M. N.: Semantic features of object concepts generated with GPT-3. 44th Annual Conference of the Cognitive Science Society (CogSci), Toronto, ON, Canada (2022)
Vortrag
Hebart, M. N.: Core representational dimensions of visually-perceived objects. Mind Brain Annual Meeting (SAMBA), Salzburg, Austria (2022)
Vortrag
Hebart, M. N.: The THINGS initiative: A global initiative of researchers for representative sampling of objects in brains, behavior, and computational models. Annual Meeting of the Vision Science Society (VSS) , St. Pete Beach, FL, USA (2022)
Vortrag
Hebart, M. N.; Perkuhn, J.; Kaniuth, P.: Efficiently-generated object similarity scores predicted from human feature ratings and deep neural network activations. Annual Meeting of the Vision Science Society (VSS), St. Pete Beach, FL, USA (2022)
2021
Vortrag
Kaniuth, P.; Hebart, M. N.: Feature-reweighted RSA: A general purpose method for increasing the fit between vision models and brain data. 10th IMPRS NeuroCom Summer School, Virtual (2021)
Zur Redakteursansicht