• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

内隐类别学习的实例

The case for implicit category learning.

作者信息

Smith Edward E

机构信息

Department of Psychology, Columbia University, New York, New York 10027, USA.

出版信息

Cogn Affect Behav Neurosci. 2008 Mar;8(1):3-16. doi: 10.3758/cabn.8.1.3.

DOI:10.3758/cabn.8.1.3
PMID:18405041
Abstract

This article evaluates the evidence regarding the claim that people can learn a novel category implicitly--that is, by an implicit memory system that is qualitatively different from an explicit system. The evidence that is considered is based on the prototype extraction task, in which participants are first exposed to a set of category exemplars under incidental learning instructions and are then required to categorize novel test items. Knowlton and Squire (1993) first reported that memory-impaired patients performed normally on the prototype extraction task while being impaired on a comparable recognition task. Several studies have replicated these results, but other articles have criticized the evidence for implicit category learning on both methodological and theoretical grounds. In this article, we consider five of these criticisms-for example, that the normal performance of the patients is due to intact working memory mechanisms (see, e.g., Palmeri & Flannery, 1999) or to the lesser cognitive demands of prototype extraction rather than recognition (e.g., Nosofsky & Zaki, 1998). For each of the five criticisms, we offer counterevidence that supports implicit category learning.

摘要

本文评估了有关人们能够隐性学习新类别这一说法的证据——也就是说,通过一种在性质上不同于显性系统的隐性记忆系统来学习。所考虑的证据基于原型提取任务,在该任务中,参与者首先在附带学习指令下接触一组类别范例,然后被要求对新的测试项目进行分类。诺尔顿和斯奎尔(1993年)首次报告称,记忆受损患者在原型提取任务上表现正常,而在类似的识别任务上则受损。多项研究重复了这些结果,但其他文章从方法和理论两方面批评了隐性类别学习的证据。在本文中,我们考虑了其中五条批评意见——例如,患者的正常表现是由于完整的工作记忆机制(例如,见帕尔梅里和弗兰纳里,1999年),或者是由于原型提取而非识别对认知的要求较低(例如,诺索夫斯基和扎基,1998年)。针对这五条批评意见中的每一条,我们都提供了支持隐性类别学习的反证。

相似文献

1
The case for implicit category learning.内隐类别学习的实例
Cogn Affect Behav Neurosci. 2008 Mar;8(1):3-16. doi: 10.3758/cabn.8.1.3.
2
Can patients with Alzheimer's disease learn a category implicitly?阿尔茨海默病患者能否隐性学习一个类别?
Neuropsychologia. 2006;44(5):816-27. doi: 10.1016/j.neuropsychologia.2005.08.001. Epub 2005 Oct 14.
3
Studies of implicit prototype extraction in patients with mild cognitive impairment and early Alzheimer's disease.轻度认知障碍和早期阿尔茨海默病患者内隐原型提取的研究。
J Exp Psychol Learn Mem Cogn. 2012 Jul;38(4):860-80. doi: 10.1037/a0028064.
4
Multiple systems of category learning.类别学习的多种系统。
Neurosci Biobehav Rev. 2008;32(2):249-64. doi: 10.1016/j.neubiorev.2007.07.009. Epub 2007 Aug 15.
5
Category learning in Alzheimer's disease and normal cognitive aging depends on initial experience of feature variability.阿尔茨海默病和正常认知衰老中的类别学习取决于特征变异性的初始体验。
Neuropsychologia. 2017 Apr;98:98-110. doi: 10.1016/j.neuropsychologia.2016.07.003. Epub 2016 Jul 6.
6
Medial temporal lobe involvement in an implicit memory task: evidence of collaborating implicit and explicit memory systems from FMRI and Alzheimer's disease.内侧颞叶在一项内隐记忆任务中的作用:来自功能磁共振成像和阿尔茨海默病的内隐与外显记忆系统协作的证据
Cereb Cortex. 2008 Dec;18(12):2831-43. doi: 10.1093/cercor/bhn043. Epub 2008 Apr 9.
7
Base-rate sensitivity through implicit learning.通过内隐学习实现的基础比率敏感性。
PLoS One. 2017 Jun 20;12(6):e0179256. doi: 10.1371/journal.pone.0179256. eCollection 2017.
8
A role for the medial temporal lobes in category learning.内侧颞叶在类别学习中的作用。
Learn Mem. 2020 Sep 15;27(10):441-450. doi: 10.1101/lm.051995.120. Print 2020 Oct.
9
Comparison processes in category learning: from theory to behavior.类别学习中的比较过程:从理论到行为
Brain Res. 2008 Aug 15;1225:102-18. doi: 10.1016/j.brainres.2008.04.079. Epub 2008 May 13.
10
Explicit category learning in Parkinson's disease: deficits related to impaired rule generation and selection processes.帕金森病中的显性类别学习:与规则生成和选择过程受损相关的缺陷。
Neuropsychology. 2006 Mar;20(2):249-57. doi: 10.1037/0894-4105.20.2.249.

引用本文的文献

1
Deep learning can be used to train naïve, nonprofessional observers to detect diagnostic visual patterns of certain cancers in mammograms: a proof-of-principle study.深度学习可用于训练未经专业培训的普通观察者,以检测乳腺X光片中某些癌症的诊断性视觉模式:一项原理验证研究。
J Med Imaging (Bellingham). 2020 Mar;7(2):022410. doi: 10.1117/1.JMI.7.2.022410. Epub 2020 Feb 4.
2
The effect of encoding conditions on learning in the prototype distortion task.编码条件对原型扭曲任务中学习的影响。
Learn Behav. 2017 Jun;45(2):164-183. doi: 10.3758/s13420-016-0252-z.
3
Category learning in Alzheimer's disease and normal cognitive aging depends on initial experience of feature variability.

本文引用的文献

1
Models in search of a brain.寻找大脑的模型。
Cogn Affect Behav Neurosci. 2007 Jun;7(2):90-108. doi: 10.3758/cabn.7.2.90.
2
Modulation of competing memory systems by distraction.通过分心对相互竞争的记忆系统进行调节。
Proc Natl Acad Sci U S A. 2006 Aug 1;103(31):11778-83. doi: 10.1073/pnas.0602659103. Epub 2006 Jul 25.
3
Can patients with Alzheimer's disease learn a category implicitly?阿尔茨海默病患者能否隐性学习一个类别?
阿尔茨海默病和正常认知衰老中的类别学习取决于特征变异性的初始体验。
Neuropsychologia. 2017 Apr;98:98-110. doi: 10.1016/j.neuropsychologia.2016.07.003. Epub 2016 Jul 6.
4
Studies of implicit prototype extraction in patients with mild cognitive impairment and early Alzheimer's disease.轻度认知障碍和早期阿尔茨海默病患者内隐原型提取的研究。
J Exp Psychol Learn Mem Cogn. 2012 Jul;38(4):860-80. doi: 10.1037/a0028064.
5
Perceptual fluency can be used as a cue for categorization decisions.感知流畅度可用作分类决策的线索。
Psychon Bull Rev. 2012 Aug;19(4):737-42. doi: 10.3758/s13423-012-0259-1.
6
Activation in the neural network responsible for categorization and recognition reflects parameter changes.神经网络的激活反映了参数的变化,而神经网络负责分类和识别。
Proc Natl Acad Sci U S A. 2012 Jan 3;109(1):333-8. doi: 10.1073/pnas.1111304109. Epub 2011 Dec 19.
7
Category learning in the brain.大脑中的类别学习。
Annu Rev Neurosci. 2010;33:203-19. doi: 10.1146/annurev.neuro.051508.135546.
8
Syntactic transfer in artificial grammar learning.人工语法学习中的句法迁移。
Psychon Bull Rev. 2010 Feb;17(1):122-8. doi: 10.3758/PBR.17.1.122.
9
Medial temporal lobe involvement in an implicit memory task: evidence of collaborating implicit and explicit memory systems from FMRI and Alzheimer's disease.内侧颞叶在一项内隐记忆任务中的作用:来自功能磁共振成像和阿尔茨海默病的内隐与外显记忆系统协作的证据
Cereb Cortex. 2008 Dec;18(12):2831-43. doi: 10.1093/cercor/bhn043. Epub 2008 Apr 9.
10
A high-distortion enhancement effect in the prototype-learning paradigm: dramatic effects of category learning during test.原型学习范式中的高失真增强效应:测试期间类别学习的显著效果。
Mem Cognit. 2007 Dec;35(8):2088-96. doi: 10.3758/bf03192940.
Neuropsychologia. 2006;44(5):816-27. doi: 10.1016/j.neuropsychologia.2005.08.001. Epub 2005 Oct 14.
4
Is categorization performance really intact in amnesia? A meta-analysis.失忆症患者的分类能力真的完好无损吗?一项元分析。
Psychon Bull Rev. 2004 Dec;11(6):1048-54. doi: 10.3758/bf03196735.
5
Human category learning.人类类别学习。
Annu Rev Psychol. 2005;56:149-78. doi: 10.1146/annurev.psych.56.091103.070217.
6
Implicit memory, age, and time of day: paradoxical priming effects.内隐记忆、年龄与一天中的时间:矛盾的启动效应。
Psychol Sci. 2005 Feb;16(2):96-100. doi: 10.1111/j.0956-7976.2005.00788.x.
7
Category learning and multiple memory systems.类别学习与多重记忆系统。
Trends Cogn Sci. 2005 Feb;9(2):83-9. doi: 10.1016/j.tics.2004.12.003.
8
The neural basis for novel semantic categorization.新颖语义分类的神经基础。
Neuroimage. 2005 Jan 15;24(2):369-83. doi: 10.1016/j.neuroimage.2004.08.045. Epub 2004 Dec 10.
9
Memory systems of the brain: a brief history and current perspective.大脑的记忆系统:简史与当前视角
Neurobiol Learn Mem. 2004 Nov;82(3):171-7. doi: 10.1016/j.nlm.2004.06.005.
10
SUSTAIN: a network model of category learning.可持续性:类别学习的网络模型。
Psychol Rev. 2004 Apr;111(2):309-32. doi: 10.1037/0033-295X.111.2.309.