Journal article icon

Journal article

How do (perceptual) distracters distract?

Abstract:
When a target stimulus occurs in the presence of distracters, decisions are less accurate. But how exactly do distracters affect choices? Here, we explored this question using measurement of human behaviour, psychophysical reverse correlation and computational modelling. We contrasted two models: one in which targets and distracters had independent influence on choices (independent model) and one in which distracters modulated choices in a way that depended on their similarity to the target (interaction model). Across three experiments, participants were asked to make fine orientation judgments about the tilt of a target grating presented adjacent to an irrelevant distracter. We found strong evidence for the interaction model, in that decisions were more sensitive when target and distracter were consistent relative to when they were inconsistent. This consistency bias occurred in the frame of reference of the decision, that is, it operated on decision values rather than on sensory signals, and surprisingly, it was independent of spatial attention. A normalization framework, where target features are normalized by the expectation and variability of the local context, successfully captures the observed pattern of results.
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1371/journal.pcbi.1010609

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Oxford college:
Pembroke College;Wadham College
Role:
Author
ORCID:
0000-0002-5761-8536
More by this author
Role:
Author
ORCID:
0000-0002-7938-4531
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Oxford college:
Pembroke College
Role:
Author
ORCID:
0000-0001-8904-8315
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author


Publisher:
Public Library of Science
Journal:
PLoS Computational Biology More from this journal
Volume:
18
Issue:
10
Article number:
e1010609
Place of publication:
United States
Publication date:
2022-10-13
Acceptance date:
2022-09-27
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Pmid:
36228038


Language:
English
Keywords:
Pubs id:
1285898
Local pid:
pubs:1285898
Deposit date:
2023-09-10

Terms of use



Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP