Suppr超能文献

心理表征中的客体识别:通过视觉心理意象探索诊断特征的方向

Object Recognition in Mental Representations: Directions for Exploring Diagnostic Features through Visual Mental Imagery.

作者信息

Roldan Stephanie M

机构信息

Virginia Tech Visual Neuroscience Laboratory, Psychology Department, Virginia Polytechnic Institute and State University, BlacksburgVA, United States.

出版信息

Front Psychol. 2017 May 23;8:833. doi: 10.3389/fpsyg.2017.00833. eCollection 2017.

Abstract

One of the fundamental goals of object recognition research is to understand how a cognitive representation produced from the output of filtered and transformed sensory information facilitates efficient viewer behavior. Given that mental imagery strongly resembles perceptual processes in both cortical regions and subjective visual qualities, it is reasonable to question whether mental imagery facilitates cognition in a manner similar to that of perceptual viewing: via the detection and recognition of distinguishing features. Categorizing the feature content of mental imagery holds potential as a reverse pathway by which to identify the components of a visual stimulus which are most critical for the creation and retrieval of a visual representation. This review will examine the likelihood that the information represented in visual mental imagery reflects distinctive object features thought to facilitate efficient object categorization and recognition during perceptual viewing. If it is the case that these representational features resemble their sensory counterparts in both spatial and semantic qualities, they may well be accessible through mental imagery as evaluated through current investigative techniques. In this review, methods applied to mental imagery research and their findings are reviewed and evaluated for their efficiency in accessing internal representations, and implications for identifying diagnostic features are discussed. An argument is made for the benefits of combining mental imagery assessment methods with diagnostic feature research to advance the understanding of visual perceptive processes, with suggestions for avenues of future investigation.

摘要

目标识别研究的一个基本目标是理解由经过过滤和转换的感官信息输出所产生的认知表征如何促进观察者的高效行为。鉴于心理意象在皮层区域和主观视觉质量方面都与感知过程极为相似,因此质疑心理意象是否以类似于感知观察的方式促进认知是合理的:即通过检测和识别显著特征。对心理意象的特征内容进行分类具有潜力,可作为一种反向途径,用以识别视觉刺激中对于视觉表征的创建和检索最为关键的成分。本综述将探讨视觉心理意象中所表征的信息反映那些被认为在感知观察期间促进高效物体分类和识别的独特物体特征的可能性。如果这些表征特征在空间和语义质量方面与其感官对应物相似,那么通过当前的研究技术评估,它们很可能可以通过心理意象来获取。在本综述中,对应用于心理意象研究的方法及其发现进行了回顾和评估,以考察它们在获取内部表征方面的效率,并讨论了其对识别诊断特征的意义。有人提出将心理意象评估方法与诊断特征研究相结合,以推进对视觉感知过程的理解,并对未来的研究途径提出了建议。

相似文献

本文引用的文献

2
Using space to represent categories: insights from gaze position.利用空间来表示类别:来自注视位置的见解。
Psychol Res. 2017 Jul;81(4):721-729. doi: 10.1007/s00426-016-0781-2. Epub 2016 Jun 15.
3
Atoms of recognition in human and computer vision.人类视觉与计算机视觉中的识别原子。
Proc Natl Acad Sci U S A. 2016 Mar 8;113(10):2744-9. doi: 10.1073/pnas.1513198113. Epub 2016 Feb 16.
4
Mental Imagery: Functional Mechanisms and Clinical Applications.心理意象:功能机制与临床应用。
Trends Cogn Sci. 2015 Oct;19(10):590-602. doi: 10.1016/j.tics.2015.08.003.
6
Lives without imagery - Congenital aphantasia.没有意象的生活——先天性想象缺失症。
Cortex. 2015 Dec;73:378-80. doi: 10.1016/j.cortex.2015.05.019. Epub 2015 Jun 3.
7
fNIRS-based brain-computer interfaces: a review.基于功能近红外光谱技术的脑机接口:综述
Front Hum Neurosci. 2015 Jan 28;9:3. doi: 10.3389/fnhum.2015.00003. eCollection 2015.

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