Literature DB >> 26109657

Words Jump-Start Vision: A Label Advantage in Object Recognition.

Bastien Boutonnet1, Gary Lupyan2.   

Abstract

People use language to shape each other's behavior in highly flexible ways. Effects of language are often assumed to be "high-level" in that, whereas language clearly influences reasoning, decision making, and memory, it does not influence low-level visual processes. Here, we test the prediction that words are able to provide top-down guidance at the very earliest stages of visual processing by acting as powerful categorical cues. We investigated whether visual processing of images of familiar animals and artifacts was enhanced after hearing their name (e.g., "dog") compared with hearing an equally familiar and unambiguous nonverbal sound (e.g., a dog bark) in 14 English monolingual speakers. Because the relationship between words and their referents is categorical, we expected words to deploy more effective categorical templates, allowing for more rapid visual recognition. By recording EEGs, we were able to determine whether this label advantage stemmed from changes to early visual processing or later semantic decision processes. The results showed that hearing a word affected early visual processes and that this modulation was specific to the named category. An analysis of ERPs showed that the P1 was larger when people were cued by labels compared with equally informative nonverbal cues-an enhancement occurring within 100 ms of image onset, which also predicted behavioral responses occurring almost 500 ms later. Hearing labels modulated the P1 such that it distinguished between target and nontarget images, showing that words rapidly guide early visual processing.
Copyright © 2015 the authors 0270-6474/15/359329-07$15.00/0.

Entities:  

Keywords:  categorization; concepts; even-related potentials; language and thought; perception; representations

Mesh:

Year:  2015        PMID: 26109657      PMCID: PMC6605198          DOI: 10.1523/JNEUROSCI.5111-14.2015

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


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