EconPapers    
Economics at your fingertips  
 

Perceptual learning without perception

Takeo Watanabe (), José E. Náñez and Yuka Sasaki
Additional contact information
Takeo Watanabe: Boston University
José E. Náñez: Arizona State University West
Yuka Sasaki: NMR Center, Massachusetts General Hospital

Nature, 2001, vol. 413, issue 6858, 844-848

Abstract: Abstract The brain is able to adapt rapidly and continually to the surrounding environment, becoming increasingly sensitive to important and frequently encountered stimuli1,2,3,4. It is often claimed that this adaptive learning is highly task-specific, that is, we become more sensitive to the critical signals in the tasks we attend to5,6,7,8,9,10,11,12,13,14,15. Here, we show a new type of perceptual learning, which occurs without attention, without awareness and without any task relevance. Subjects were repeatedly presented with a background motion signal so weak that its direction was not visible; the invisible motion was an irrelevant background to the central task that engaged the subject's attention. Despite being below the threshold of visibility and being irrelevant to the central task, the repetitive exposure improved performance specifically for the direction of the exposed motion when tested in a subsequent suprathreshold test. These results suggest that a frequently presented feature sensitizes the visual system merely owing to its frequency, not its relevance or salience.

Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/35101601 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:413:y:2001:i:6858:d:10.1038_35101601

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/35101601

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:nature:v:413:y:2001:i:6858:d:10.1038_35101601