Modeling Response Times in the Go/No-Go Discrimination Task.

Jennifer S Trueblood, Michael J Endres, Jerome R Busemeyer, Peter R Finn
{"title":"Modeling Response Times in the Go/No-Go Discrimination Task.","authors":"Jennifer S Trueblood,&nbsp;Michael J Endres,&nbsp;Jerome R Busemeyer,&nbsp;Peter R Finn","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The work presented here uses a simple stochastic model as a cognitive psychometric tool for analyzing response time data in the Go/No-Go Discrimination task with motivationally distinct conditions. The parameters of the model inform us of underlying cognitive mechanisms because they have an established psychological meaning and allow us to quantify a subjects ability and response caution. Using these model parameters, we focus on the differences between subjects with varying degrees of substance abuse and antisocial behavioral disorders and show that there are reliable differences between the decision mechanisms of these subjects. Using data from executive working memory tasks, we postulate that these differences in cognitive processes might be due to differences in working memory capacity. Ultimately, we show that formal cognitive modeling has the potential to provide valuable insights into clinical phenomena that cannot be captured by traditional data analysis techniques.</p>","PeriodicalId":72634,"journal":{"name":"CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference","volume":"2011 ","pages":"1866-1871"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4183163/pdf/nihms380624.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The work presented here uses a simple stochastic model as a cognitive psychometric tool for analyzing response time data in the Go/No-Go Discrimination task with motivationally distinct conditions. The parameters of the model inform us of underlying cognitive mechanisms because they have an established psychological meaning and allow us to quantify a subjects ability and response caution. Using these model parameters, we focus on the differences between subjects with varying degrees of substance abuse and antisocial behavioral disorders and show that there are reliable differences between the decision mechanisms of these subjects. Using data from executive working memory tasks, we postulate that these differences in cognitive processes might be due to differences in working memory capacity. Ultimately, we show that formal cognitive modeling has the potential to provide valuable insights into clinical phenomena that cannot be captured by traditional data analysis techniques.

分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Go/No-Go区分任务的响应时间建模。
本文采用一个简单的随机模型作为认知心理测量工具,分析动机不同条件下Go/No-Go Discrimination任务的反应时间数据。模型的参数告诉我们潜在的认知机制,因为它们具有既定的心理学意义,并允许我们量化受试者的能力和反应谨慎。利用这些模型参数,我们重点研究了不同程度药物滥用和反社会行为障碍被试之间的差异,并表明这些被试的决策机制之间存在可靠的差异。利用执行工作记忆任务的数据,我们假设这些认知过程的差异可能是由于工作记忆容量的差异。最终,我们表明,正式的认知建模有潜力为传统数据分析技术无法捕获的临床现象提供有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Effect of Fatigue on Word Production in Aphasia. Connecting Adaptive Perceptual Learning and Signal Detection Theory in Skin Cancer Screening. Very Young Infants' Sensitivity to Consonant Mispronunciations in Word Recognition. Verb vocabularies are shaped by complex meanings from the onset of development. A Neural Network Model of Continual Learning with Cognitive Control.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1