Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images.

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Bibliographic Details
Title: Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images.
Authors: Lu Z; Department of Psychology, The Ohio State University, Columbus, United States.; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Boston, United States., Golomb J; Department of Psychology, The Ohio State University, Columbus, United States.
Source: ELife [Elife] 2025 Dec 22; Vol. 13. Date of Electronic Publication: 2025 Dec 22.
Publication Type: Journal Article
Journal Info: Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2050-084X
DOI:10.7554/eLife.98117