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Journal of Vision
Article . 2003 . Peer-reviewed
Data sources: Crossref
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Journal of Vision
Article
License: CC BY NC ND
Data sources: UnpayWall
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Timecourse of neural signatures of object recognition

Authors: Johnson, Jeffrey S; Olshausen, Bruno A;

Timecourse of neural signatures of object recognition

Abstract

How long does it take for the human visual system to recognize objects? This issue is important for understanding visual cortical function as it places constraints on models of the information processing underlying recognition. We designed a series of event-related potential (ERP) experiments to measure the timecourse of electrophysiological correlates of object recognition. We find two distinct types of components in the ERP recorded during categorization of natural images. One is an early presentation-locked signal arising around 135 ms that is present when there are low-level feature differences between images. The other is a later, recognition-related component arising between 150-300 ms. Unlike the early component, the latency of the later component covaries with the subsequent reaction time. In contrast to previous studies suggesting that the early, presentation-locked component of neural activity is correlated to recognition, these results imply that the neural signatures of recognition have a substantially later and variable time of onset.

Country
United States
Related Organizations
Keywords

Adult, Male, Time Factors, Adolescent, Medical and Health Sciences, object recognition, Clinical Research, Psychology, Humans, visual cortex, Eye Disease and Disorders of Vision, ERPimage, Ophthalmology and Optometry, Visual Cortex, Brain Mapping, Biomedical and Clinical Sciences, Psychology and Cognitive Sciences, Neurosciences, Experimental Psychology, Ophthalmology and optometry, Electroencephalography, Recognition, Psychology, electrophysiology, Form Perception, Recognition, Neurological, Female, ERP

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    201
    popularity
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    Top 10%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
201
Top 10%
Top 1%
Top 1%
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gold