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THINGS-data: Behavioral odd-one-out data and code

dataset

posted on 2023-01-17, 19:26 authored by Martin HebartMartin Hebart, Oliver ContierOliver Contier, Lina Teichmann, Adam Rockter, Charles ZhengCharles Zheng, Alexis Kidder, Anna Corriveau, Maryam Vaziri-Pashkam, Chris Baker

4.7 million object odd-one-out judgements from human participants on Amazon Mechanical Turk.

Part of THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior.

See related materials in Collection at: https://doi.org/10.25452/figshare.plus.c.6161151

Funding

Intramural Research Program of the National Institutes of Health (ZIA-MH-002909, ZIC-MH002968)

ERC Starting Grant project COREDIM (101039712)

Research group grant by the Max Planck Society awarded to MNH

Object, face, body and scene representations in the human brain

National Institute of Mental Health

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Machine Learning Team

National Institute of Mental Health

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Research Institution(s)

National Institute of Mental Health, Max Planck Institute for Human Cognitive and Brain Sciences

Contact email

hebart@cbs.mpg.de

Associated Preprint DOI

https://doi.org/10.7554/eLife.82580

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Categories

Other psychology not elsewhere classified

Keywords

behavior object perception similarity Odd-One-Out Task computational modeling crowdsourcing objects embedding dimensions features large-scale Psychology and Cognitive Sciences not elsewhere classified

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