Publications of Martin N. Hebart

Conference Paper (2)

2023
Conference Paper
Hebart, M. N.: Revealing interpretable object representations from human visual cortex and artificial neural networks. In: Proceedings of the 11th International Winter Conference on Brain-Computer Interface (BCI). IEEE (2023)
2022
Conference Paper
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, Vol. 44. (2022)

Meeting Abstract (4)

2023
Meeting Abstract
Singer, J.; Karapetian, A.; Hebart, M. N.; Cichy, R.: Revealing the locus and content of behaviorally relevant information about real-world scenes in human visual cortex. In Journal of Vision, 23, 4712. Scholar One, Inc., Charlottesville, VA (2023)
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, June 19, 2020 - June 24, 2020. Scholar One, Inc., Charlottesville, VA (2020)

Talk (10)

2022
Talk
Hebart, M. N.: Revealing the core dimensions underlying mental representations of objects. CRC Workshop on Cardinal Mechanisms of Perception, Rauischholzhausen Castle, Germany (2022)
Talk
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)
Talk
Hebart, M. N.: Core representational dimensions of visually-perceived objects. Mind Brain Annual Meeting (SAMBA), Salzburg, Austria (2022)
Talk
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)
Talk
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
Talk
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)
Talk
Hebart, M. N.: Revealing interpretable representations in artificial and biological vision. Japanese Meeting for Human Brain Imaging, National Institute for Physiological Sciences, Okazaki, Japan (2021)
Talk
Hebart, M. N.: Revealing the similarities and differences between object representations in humans and DNNs. Tagung experimentell arbeitender Psychologen (TeaP), Ulm, Germany (2021)
2020
Talk
Hebart, M. N.: THINGS: A large-scale global initiative to study the cognitive, computational, and neural mechanisms of object recognition in biological and artificial intelligence. NeurIPS workshop “Shared Visual Representations in Human & Machine Intelligence”, Virtual (2020)
Talk
Hebart, M. N.; Zheng, C.; Pereira, F.; Baker, C.: Revealing the multidimensional mental representations of natural objects. Neuromatch 2.0, Virtual (2020)

Poster (23)

2023
Poster
Seeliger, K.; Leipe, R.; Roth, J.; Hebart, M. N.: Uncovering high-level visual cortex preferences by training convolutional neural networks on large neuroimaging data. Neuro-AI-Talks (NEAT), Osnabrück, Germany (2023)
Poster
Mahner, F.; Muttenthaler, L.; Güçlü, U.; Hebart, M. N.: Dimensions that matter: Interpretable object dimensions in humans and deep neural networks. 6th Annual Conference on Cognitive Computational Neuroscience (CCN), Oxford, United Kingdom (2023)
Poster
Seeliger, K.; Leipe, R.; Roth, J.; Hebart, M. N.: Investigating high-level visual cortex preferences through neural network training on large neuroimaging data. Salzburg Mind Brain Meeting (SAMBA), Salzburg, Austria (2023)
Poster
Stoinski, L. M.; Contier, O.; Konkle, T.; Hebart, M. N.: Revisiting the animacy, size, and curvature organization of human visual cortex. 23rd Annual Meeting of the Vision Science Society (VSS), St. Pete Beach, FL, USA (2023)
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