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Journal of Vision (34)

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Vision Sciences Society Annual Meeting Abstract (33)
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Vision Sciences Society Annual Meeting Abstract September 2024

Farewell to the explore-exploit trade-off in large-scale datasets

Tomas Knapen; Nick Hedger; Thomas Naselaris; Shufan Zhang; Martin Hebart

Journal of Vision. 2024; 24(10):150. https://doi.org/10.1167/jov.24.10.150

Vision Sciences Society Annual Meeting Abstract September 2024

Cortical representations of core visual material dimensions

Hua-Chun Sun; Filipp Schmidt; Alexandra C. Schmid; Martin N. Hebart; Roland W. Fleming

Journal of Vision. 2024; 24(10):285. https://doi.org/10.1167/jov.24.10.285

Vision Sciences Society Annual Meeting Abstract September 2024

Quantifying the role of perceived curvature in the processing of natural object images

Laura M. Stoinski; Katya Müller; Martin N. Hebart

Journal of Vision. 2024; 24(10):975. https://doi.org/10.1167/jov.24.10.975

Vision Sciences Society Annual Meeting Abstract September 2024

Towards a detailed functional neuroanatomy of the ventral visual cortex

Josefine A. Zerbe; Maggie Mae Mell; Juliane Damm; Marianna Schmidt; Nikolaus Weiskopf; Evgeniya Kirilina; Tomas Knapen; Martin N. Hebart

Journal of Vision. 2024; 24(10):931. https://doi.org/10.1167/jov.24.10.931

Vision Sciences Society Annual Meeting Abstract August 2023

Revealing the locus and content of behaviorally relevant information about real-world scenes in human visual cortex

Johannes Singer; Agnessa Karapetian; Martin Hebart; Radoslaw Cichy

Journal of Vision. 2023; 23(9):4712. https://doi.org/10.1167/jov.23.9.4712

Vision Sciences Society Annual Meeting Abstract August 2023

cneuromod-things : a large-scale fMRI dataset for task- and data-driven assessment of object representation and visual memory recognition in the human brain

Marie St-Laurent; Basile Pinsard; Oliver Contier; Katja Seeliger; Valentina Borghesani; Julie Boyle; Pierre Bellec; Martin Hebart

Journal of Vision. 2023; 23(9):5424. https://doi.org/10.1167/jov.23.9.5424

Vision Sciences Society Annual Meeting Abstract August 2023

Revealing interpretable object dimensions from a high-throughput model of the fusiform face area

Oliver Contier; Shu Fujimori; Katja Seeliger; N Apurva Ratan Murty; Martin Hebart

Journal of Vision. 2023; 23(9):5356. https://doi.org/10.1167/jov.23.9.5356

Vision Sciences Society Annual Meeting Abstract August 2023

Revisiting the animacy, size, and curvature organization of human visual cortex

Laura M. Stoinski; Oliver Contier; Talia Konkle; Martin N. Hebart

Journal of Vision. 2023; 23(9):5072. https://doi.org/10.1167/jov.23.9.5072

Vision Sciences Society Annual Meeting Abstract August 2023

Assessing the feasibility of high stimulus presentation rates for contrasting conditions in functional MRI studies

Johannes Roth; Yoichi Miyawaki; Martin N. Hebart

Journal of Vision. 2023; 23(9):5070. https://doi.org/10.1167/jov.23.9.5070

Vision Sciences Society Annual Meeting Abstract August 2023

THINGS-drawings: A large-scale dataset containing human sketches of 1,854 object concepts

Judith E. Fan; Kushin Mukherjee; Holly Huey; Martin N. Hebart; Wilma A. Bainbridge

Journal of Vision. 2023; 23(9):5975. https://doi.org/10.1167/jov.23.9.5975

Vision Sciences Society Annual Meeting Abstract December 2022

THINGS+: new norms and metadata for the THINGS database of 1,854 object concepts and 26,107 natural object images

Laura Stoinski; Jonas Perkuhn; Martin Hebart

Journal of Vision. 2022; 22(14):3247. https://doi.org/10.1167/jov.22.14.3247

Vision Sciences Society Annual Meeting Abstract December 2022

The role of gaze position in training visual brain encoders on free-viewing data

Marie St-Laurent; Katja Seeliger; Martin Hebart

Journal of Vision. 2022; 22(14):4091. https://doi.org/10.1167/jov.22.14.4091

Vision Sciences Society Annual Meeting Abstract December 2022

Similarities and differences in the spatio-temporal neural dynamics underlying the recognition of natural images and line drawings

Johannes Singer; Radoslaw Martin Cichy; Martin N Hebart

Journal of Vision. 2022; 22(14):3248. https://doi.org/10.1167/jov.22.14.3248

Vision Sciences Society Annual Meeting Abstract December 2022

The effect of downsampling neural network activation patterns for improving their correspondence with brains and behavior

Yuxuan Dai; Martin N. Hebart

Journal of Vision. 2022; 22(14):3241. https://doi.org/10.1167/jov.22.14.3241

Vision Sciences Society Annual Meeting Abstract December 2022

The THINGS initiative: a global initiative of researchers for representative sampling of objects in brains, behavior, and computational models

Martin N. Hebart

Journal of Vision. 2022; 22(14):3203. https://doi.org/10.1167/jov.22.14.3203

Vision Sciences Society Annual Meeting Abstract December 2022

Semantics, not Atypicality Reflect Memorability Across Concrete Objects

Max A. Kramer; Martin N. Hebart; Chris I. Baker; Wima A. Bainbridge

Journal of Vision. 2022; 22(14):3634. https://doi.org/10.1167/jov.22.14.3634

Vision Sciences Society Annual Meeting Abstract December 2022

Automatic generation of semantic feature norms of objects using GPT-3

Hannes J. Hansen; Martin N. Hebart

Journal of Vision. 2022; 22(14):3461. https://doi.org/10.1167/jov.22.14.3461

Vision Sciences Society Annual Meeting Abstract December 2022

Distributed representation of behaviorally-relevant object dimensions in the human brain

Oliver Contier; Martin N. Hebart

Journal of Vision. 2022; 22(14):3951. https://doi.org/10.1167/jov.22.14.3951

Vision Sciences Society Annual Meeting Abstract December 2022

Efficiently-generated object similarity scores predicted from human feature ratings and deep neural network activations

Martin N Hebart; Philipp Kaniuth; Jonas Perkuhn

Journal of Vision. 2022; 22(14):4057. https://doi.org/10.1167/jov.22.14.4057

Vision Sciences Society Annual Meeting Abstract December 2022

Interpretable object dimensions in deep neural networks and their similarities to human representations

Lukas Muttenthaler; Martin N. Hebart

Journal of Vision. 2022; 22(14):4516. https://doi.org/10.1167/jov.22.14.4516

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