Abstract
Understanding how we recognize objects requires unravelling the variables that govern the way we think about objects and the neural organization of object representations. A tenable hypothesis is that the organization of object knowledge follows key object-related dimensions. Here, we explored, behaviorally and neurally, the multidimensionality of object processing. We focused on within-domain object information as a proxy for the decisions we typically engage in our daily lives – e.g., identifying a hammer in the context of other tools. We extracted object-related dimensions from subjective human judgments on a set of manipulable objects. We show that the extracted
dimensions are cognitively interpretable and relevant – i.e., participants are able to consistently label them, and these dimensions can guide object categorization; and are important for the neural organization of knowledge – i.e., they predict neural signals elicited by manipulable objects. This shows that multidimensionality is a hallmark of the organization of manipulable object knowledge.
dimensions are cognitively interpretable and relevant – i.e., participants are able to consistently label them, and these dimensions can guide object categorization; and are important for the neural organization of knowledge – i.e., they predict neural signals elicited by manipulable objects. This shows that multidimensionality is a hallmark of the organization of manipulable object knowledge.
Original language | English |
---|---|
Article number | 940 |
Number of pages | 15 |
Journal | Communications Biology |
Volume | 6 |
Issue number | 1 |
Early online date | 14 Sept 2023 |
DOIs | |
Publication status | Published - Dec 2023 |
Bibliographical note
Acknowledgements:This work was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme Starting Grant number 802553; “ContentMAP'' to JA. AF is supported by a grant from the Biotechnology and Biology research council (BBSRC, grant number: BB/S006605/1) and the Bial Foundation, Bial Foundation Grants Programme Grant ID: A-29315, number: 203/2020, grant edition: G-15516. SK is supported by a Fundação para a Ciência e Tecnologia (FCT) Doctoral Grant SFRH/BD/145218/2019. DV is supported by a FCT Doctoral Grant SFRH/BD/137737/2018. FB is supported by a FCT Individual grantCEECIND/03661/2017. JW is supported by a FCT Individual grant CEECIND/03185/2021. The authors wish to thank Bradford Mahon for his comments on an earlier draft.
Data Availability Statement
All data can be found at https://osf.io/jzuf3/ (https://doi.org/10.17605/OSF.IO/JZUF3)119.Code availability
Custom code used can be found at https://osf.io/jzuf3/ (https://doi.org/10.17605/OSF.IO/JZUF3)119.
Supplementary information
The online version contains supplementary material available at https://doi.org/10.1038/s42003-023-05323-x.