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A diffusion model analysis of the effects of aging in the Flanker Task.老化对 Flanker 任务影响的扩散模型分析。
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2
Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence.运用贝叶斯因子假设检验在神经科学中建立无证据的结论。
Nat Neurosci. 2020 Jul;23(7):788-799. doi: 10.1038/s41593-020-0660-4. Epub 2020 Jun 29.
3
A comparison of conflict diffusion models in the flanker task through pseudolikelihood Bayes factors.通过似然贝叶斯因子比较侧翼任务中的冲突扩散模型。
Psychol Rev. 2020 Jan;127(1):114-135. doi: 10.1037/rev0000165. Epub 2019 Oct 10.
4
Conflict resolution in the Eriksen flanker task: Similarities and differences to the Simon task.埃里克森侧翼任务中的冲突解决:与西蒙任务的相似与不同。
PLoS One. 2019 Mar 28;14(3):e0214203. doi: 10.1371/journal.pone.0214203. eCollection 2019.
5
Doing psychological science by hand.手工开展心理学研究。
Curr Dir Psychol Sci. 2018 Oct;27(5):315-323. doi: 10.1177/0963721417746793. Epub 2018 Aug 13.
6
Rejecting salient distractors: Generalization from experience.拒绝显著干扰因素:从经验中归纳。
Atten Percept Psychophys. 2018 Feb;80(2):485-499. doi: 10.3758/s13414-017-1465-8.
7
Forgetting from lapses of sustained attention.因持续性注意力不集中而遗忘。
Psychon Bull Rev. 2018 Apr;25(2):605-611. doi: 10.3758/s13423-017-1309-5.
8
Testing the validity of conflict drift-diffusion models for use in estimating cognitive processes: A parameter-recovery study.检验用于估计认知过程的冲突漂移扩散模型的有效性:一项参数恢复研究。
Psychon Bull Rev. 2018 Feb;25(1):286-301. doi: 10.3758/s13423-017-1271-2.
9
Using Covert Response Activation to Test Latent Assumptions of Formal Decision-Making Models in Humans.利用隐蔽反应激活来测试人类正式决策模型的潜在假设。
J Neurosci. 2015 Jul 15;35(28):10371-85. doi: 10.1523/JNEUROSCI.0078-15.2015.
10
flankr: An R package implementing computational models of attentional selectivity.flankr:一个实现注意力选择性计算模型的R软件包。
Behav Res Methods. 2016 Jun;48(2):528-41. doi: 10.3758/s13428-015-0615-y.

追踪侧翼任务动态:连续注意选择的证据。

Tracking flanker task dynamics: Evidence for continuous attentional selectivity.

机构信息

Department of Psychology.

出版信息

J Exp Psychol Hum Percept Perform. 2022 Jul;48(7):771-781. doi: 10.1037/xhp0001023. Epub 2022 Jun 2.

DOI:10.1037/xhp0001023
PMID:35653729
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10239561/
Abstract

Understanding the dynamics of selective attention has been a central research goal in the cognitive sciences. One account proposes that attention is unitary and increases in selectivity over time. An alternative account proposes that attention switches from a low to a high state of selectivity at a point in time when a distinct selective attention mechanism is engaged. Despite posing fundamentally different theoretical perspectives on selective attention, both accounts have successfully explained outcome-based data, such as reaction time. Here, we used mouse-tracking, which provides high temporal resolution to record movement trajectories in a flanker task. We examined spatial and temporal movement dynamics for characteristics of continuous and discrete shifts in attentional selectivity. Our results showed that attentional selectivity increases gradually over time, rather than abruptly, demonstrating a continuous process of selective attention. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

摘要

理解选择性注意的动态一直是认知科学的核心研究目标之一。一种观点认为,注意力是单一的,随着时间的推移选择性会增强。另一种观点则认为,当一个独特的选择性注意机制被激活时,注意力会从低选择性状态切换到高选择性状态。尽管这两种观点对选择性注意提出了截然不同的理论观点,但它们都成功地解释了基于结果的数据,例如反应时间。在这里,我们使用了鼠标跟踪技术,该技术提供了高时间分辨率,可在侧翼任务中记录运动轨迹。我们研究了空间和时间运动动态,以研究注意力选择性连续和离散变化的特征。我们的结果表明,注意力选择性随着时间的推移逐渐增加,而不是突然增加,这表明选择性注意是一个连续的过程。(PsycInfo 数据库记录(c)2022 APA,保留所有权利)。