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

eLife(2025)10.7554/elife.98117.2Source: DataRank Database

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images is a research paper published in eLife (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: goldTopics (26)IDs (PubMed, OpenAlex)

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Authors (2)

Julie D. Golomb ORCID,Zitong Lu ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4415755685

National Institutes of Health

Grant: R01-EY025648

National Science Foundation

Grant: NSF 1848939

National Institutes of Health

Grant: 1R01EY025648-01

Neural and perceptual mechanisms of spatial stability across eye movements

National Science Foundation

Grant: 1848939

Visual feature perception during dynamic spatial attention and distraction

goldLicense: cc-by

journalhttps://doi.org/10.7554/elife.98117.2

publisherhttps://doi.org/10.7554/elife.98117.2

publisherhttps://cdn.elifesciences.org/preprints/98117/elife-preprint-98117-v2.pdf

publisherhttps://cdn.elifesciences.org/preprints/98117/elife-preprint-98117-v2.xml

publisherhttps://elifesciences.org/reviewed-preprints/98117v2/pdf

Fields of Study

Face Recognition and PerceptionEEG and Brain-Computer InterfacesAction Observation and Synchronization05 social sciences0501 psychology and cognitive sciences

Keywords

Object (grammar)Representation (politics)TimelineArtificial neural networkPattern recognition (psychology)Human visual system modelVisual ObjectsCognitive neuroscience of visual object recognitionMaleAdultDepth PerceptionBrainElectroencephalographyArticleYoung AdultVisual PerceptionHumansFemaleNeural Networks, ComputerPhotic StimulationComputational and Systems Biology