BROWSE

Related Researcher

Author's Photo

Chung, Dongil
Decision Neuroscience & Cognitive Engineering Lab
Research Interests
  • Decision Neuroscience; Neuroimaging; Neuroeconomics; Decision-making; Social interaction

ITEM VIEW & DOWNLOAD

Computational modeling of the negative priming effect based on inhibition patterns and working memory

Cited 0 times inthomson ciCited 0 times inthomson ci
Title
Computational modeling of the negative priming effect based on inhibition patterns and working memory
Author
Chung, DongilRaz, AmirLee, JaewonJeong, Jaeseung
Issue Date
2013-11
Publisher
FRONTIERS MEDIA SA
Citation
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, v.7, pp.166
Abstract
Negative priming (NP), slowing down of the response for target stimuli that have been previously exposed, but ignored, has been reported in multiple psychological paradigms including the Stroop task. Although NP likely results from the interplay of selective attention, episodic memory retrieval, working memory, and inhibition mechanisms, a comprehensive theoretical account of NP is currently unavailable. This lacuna may result from the complexity of stimuli combinations in NP. Thus, we aimed to investigate the presence of different degrees of the NP effect according to prime-probe combinations within a classic Stroop task. We recorded reaction times (RTs) from 66 healthy participants during Stroop task performance and examined three different NP subtypes, defined according to the type of the Stroop probe in prime probe pairs. Our findings show significant RT differences among NP subtypes that a reputatively due to the presence of differential disinhibition, i.e., release from inhibition. Among the several potential origins for differential subtypes of NP, we investigated the involvement of selective attention and/or working memory using a parallel distributed processing (PDP) model (employing selective at tention only) and a modified PDP model with working memory (PDP-WM, employing both selective attention and working memory). Our findings demonstrate that, unlike the conventional PDP model, the PDP-WM successfully simulates different levels of NP effects that closely follow the behavioral data. This outcome suggests that working memory engages in the reaccumulation of the evidence for target response and induces differential NP effects. Our computational model complements earlier efforts and may pave the road to further insights into an integrated theoretical account of complex NP effects.
URI
https://scholarworks.unist.ac.kr/handle/201301/23202
URL
https://www.frontiersin.org/articles/10.3389/fncom.2013.00166/full
DOI
10.3389/fncom.2013.00166
ISSN
1662-5188
Appears in Collections:
BME_Journal Papers
Files in This Item:
There are no files associated with this item.

find_unist can give you direct access to the published full text of this article. (UNISTARs only)

Show full item record

qrcode

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

MENU