Publikationen von Martin N. Hebart
Alle Typen
Konferenzbeitrag (2)
2022
Konferenzbeitrag
44. (2022)
Semantic features of object concepts generated with GPT-3. In: Proceedings of the Annual Meeting of the Cognitive Science Society, Bd. Meeting Abstract (4)
2023
Meeting Abstract
23, 4712. Scholar One, Inc., Charlottesville, VA (2023)
Revealing the locus and content of behaviorally relevant information about real-world scenes in human visual cortex. In Journal of Vision, 2021
Meeting Abstract
21, 1981. Scholar One, Inc., Charlottesville, VA (2021)
The mental representation of materials distilled from >1.5 million similarity judgements. In Journal of Vision,
Meeting Abstract
21, 2311. Scholar One, Inc., Charlottesville, VA (2021)
Synthesizing preferred stimuli for individual voxels in the human visual system. In Journal of Vision, 2020
Meeting Abstract
20, 1076. Vision Sciences Society Annual Meeting 2020, 19. Juni 2020 - 24. Juni 2020. Scholar One, Inc., Charlottesville, VA (2020)
Tuned representational similarity analysis: Improving the fit between computational models of vision and brain data. In Journal of Vision, Vortrag (10)
2022
Vortrag
Revealing the core dimensions underlying mental representations of objects. CRC Workshop on Cardinal Mechanisms of Perception, Rauischholzhausen Castle, Germany (2022)
Vortrag
Semantic features of object concepts generated with GPT-3. 44th Annual Conference of the Cognitive Science Society (CogSci), Toronto, ON, Canada (2022)
Vortrag
Core representational dimensions of visually-perceived objects. Mind Brain Annual Meeting (SAMBA), Salzburg, Austria (2022)
Vortrag
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
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
Feature-reweighted RSA: A general purpose method for increasing the fit between vision models and brain data. 10th IMPRS NeuroCom Summer School, Virtual (2021)
Vortrag
Revealing interpretable representations in artificial and biological vision. Japanese Meeting for Human Brain Imaging, National Institute for Physiological Sciences, Okazaki, Japan (2021)
Vortrag
Revealing the similarities and differences between object representations in humans and DNNs. Tagung experimentell arbeitender Psychologen (TeaP), Ulm, Germany (2021)
2020
Vortrag
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)
Vortrag
Revealing the multidimensional mental representations of natural objects. Neuromatch 2.0, Virtual (2020)
Poster (23)
2023
Poster
Uncovering high-level visual cortex preferences by training convolutional neural networks on large neuroimaging data. Neuro-AI-Talks (NEAT), Osnabrück, Germany (2023)
Poster
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
Investigating high-level visual cortex preferences through neural network training on large neuroimaging data. Salzburg Mind Brain Meeting (SAMBA), Salzburg, Austria (2023)
Poster
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)
Poster
Uncovering high-level visual cortex preferences by training convolutional neural networks on large neuroimaging data. 23rd Annual Meeting of the Vision Science Society (VSS), St. Pete Beach, FL, USA (2023)