Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Investigating the familiarity effect in texture segmentation by means of event-related brain potentials.

Becker, L. and Smith, D.T. and Schenk, T. (2017) 'Investigating the familiarity effect in texture segmentation by means of event-related brain potentials.', Vision research., 140 . pp. 120-132.

Abstract

The familiarity effect (FE) refers to the phenomenon that it is easier to find an unfamiliar element on a background of familiar elements than vice versa. In this study, we examined the FE in texture segmentation while recording event-related brain potentials with the aim to find out which processing stages were influenced by familiarity. In two experiments, with different levels of texture homogeneity, the N1, the N2p and the P3 components were investigated. It was found that the FE in texture segmentation is associated with a modulation of the early N1 and of the intermediate N2p component for homogeneous textures. For inhomogeneous (jittered) textures, the FE was found for the intermediate N2p and for the late P3 components, but not for the N1 component. Our findings suggest that increasing texture inhomogeneity shifts the FE occurrence to later processing stages.

Item Type:Article
Full text:(AM) Accepted Manuscript
First Live Deposit - 22 September 2017
Available under License - Creative Commons Attribution Non-commercial No Derivatives.
Download PDF
(535Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1016/j.visres.2017.08.002
Publisher statement:© 2017This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Record Created:22 Sep 2017 10:58
Last Modified:21 Sep 2018 09:27

Social bookmarking: del.icio.usConnoteaBibSonomyCiteULikeFacebookTwitterExport: EndNote, Zotero | BibTex
Look up in GoogleScholar | Find in a UK Library