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Contributors:
  1. Manuel Varlet

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Description: The human brain is able to quickly and accurately identify objects in a dynamic visual world. Objects evoke different patterns of neural activity in the visual system, which reflect object category memberships. However, the underlying dimensions of object representations in the brain remain unclear. Recent research suggests that objects similarity to humans is one of the main dimensions used by the brain to organise objects, but the nature of the human-similarity features driving this organisation are still unknown. Here, we investigate the relative contributions of perceptual and conceptual features of humanness to the representational organisation of objects in the human visual system. We collected behavioural judgements of human-similarity of various objects, which were compared with time-resolved neuroimaging responses to the same objects. The behavioural judgement tasks targeted either perceptual or conceptual humanness features to determine their respective contribution to perceived human-similarity. Behavioural and neuroimaging data revealed significant and unique contributions of both perceptual and conceptual features of humanness, each explaining unique variance in neuroimaging data. Furthermore, our results showed distinct spatio-temporal dynamics in the processing of conceptual and perceptual humanness features, with later and more lateralised brain responses to conceptual features. This study highlights the critical importance of social requirements in information processing and organisation in the human brain. - We used a previously published stimulus set and corresponding EEG data, obtainable from https://osf.io/a7knv/. - This repository contains the additional data and analysis code for the current study. To recreate the result figures from the paper, see the README in the code directory. paper: https://doi.org/10.1016/j.neuroimage.2022.119350

License: GNU General Public License (GPL) 3.0

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The representational dynamics of visual objects in rapid serial visual processing streams

Rapid image presentations and time-resolved decoding of EEG data offers enormous potential to investigate the representational dynamics of a large obj...

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