Enhanced distractor filtering in habituation contexts: Learning to ignore is easier in familiar environments

Author:

De Tommaso Matteo1ORCID,Chiandetti Cinzia2ORCID,Turatto Massimo3ORCID

Affiliation:

1. Dipartimento di Psicologia , Università di Milano Bicocca

2. Dipartimento di Scienze della Vita , Università degli Studi di Trieste

3. CIMeC , Università degli Studi di Trento

Abstract

Summary Habituation mechanisms play a pivotal role in enabling organisms to filter out irrelevant stimuli and concentrate on essential ones. Through repeated exposure, the brain learns to disregard stimuli that are irrelevant, effectively ceasing to respond to potentially distracting input. Previous studies have demonstrated that the orienting response to visual distractors disrupting visual detection tasks habituates as tasks progress and distractors are encountered repeatedly, as their initial interference diminishes. Theoretical models posit that this reduction is contingent upon the establishment of an internal representation of external stimuli. Moreover, further studies have indicated that habituation can be context- specific, suggesting that the mechanisms involved incorporate information about features of irrelevant stimuli that extend beyond their discrete characteristics. In this contribution, we further delved into the question of whether the context in which habituation occurs retains a general habituative capacity when a new, to-be-ignored stimulus is introduced. We discuss evidence indicating that the context in which habituation has already taken place facilitates the habituation process for a new stimulus. This suggests that it becomes easier to ignore new stimuli in contexts where we have already learned to disregard other stimuli, underscoring the intricate interplay between habituation, context, and attentional processes.

Publisher

Walter de Gruyter GmbH

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3