The spatiotemporal neural dynamics of object location representations in the human brain

Monika Graumann (), Caterina Ciuffi, Kshitij Dwivedi, Gemma Roig and Radoslaw M. Cichy ()
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Monika Graumann: Freie Universität Berlin
Caterina Ciuffi: Freie Universität Berlin
Kshitij Dwivedi: Freie Universität Berlin
Gemma Roig: Goethe Universität
Radoslaw M. Cichy: Freie Universität Berlin

Nature Human Behaviour, 2022, vol. 6, issue 6, 796-811

Abstract: Abstract To interact with objects in complex environments, we must know what they are and where they are in spite of challenging viewing conditions. Here, we investigated where, how and when representations of object location and category emerge in the human brain when objects appear on cluttered natural scene images using a combination of functional magnetic resonance imaging, electroencephalography and computational models. We found location representations to emerge along the ventral visual stream towards lateral occipital complex, mirrored by gradual emergence in deep neural networks. Time-resolved analysis suggested that computing object location representations involves recurrent processing in high-level visual cortex. Object category representations also emerged gradually along the ventral visual stream, with evidence for recurrent computations. These results resolve the spatiotemporal dynamics of the ventral visual stream that give rise to representations of where and what objects are present in a scene under challenging viewing conditions.

Date: 2022
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DOI: 10.1038/s41562-022-01302-0

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