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功能成像分析揭示了知觉单类别任务中的原型和范例表示。

Functional imaging analyses reveal prototype and exemplar representations in a perceptual single-category task.

机构信息

Department of Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.

出版信息

Commun Biol. 2022 Sep 1;5(1):896. doi: 10.1038/s42003-022-03858-z.

Abstract

Similarity-based categorization can be performed by memorizing category members as exemplars or by abstracting the central tendency of the category - the prototype. In similarity-based categorization of stimuli with clearly identifiable dimensions from two categories, prototype representations were previously located in the hippocampus and the ventromedial prefrontal cortex (vmPFC) and exemplar representations in areas supporting visual memory. However, the neural implementation of exemplar and prototype representations in perceptual similarity-based categorization of single categories is unclear. To investigate these representations, we applied model-based univariate and multivariate analyses of functional imaging data from a dot-pattern paradigm-based task. Univariate prototype and exemplar representations occurred bilaterally in visual areas. Multivariate analyses additionally identified prototype representations in parietal areas and exemplar representations in the hippocampus. Bayesian analyses supported the non-presence of prototype representations in the hippocampus and the vmPFC. We additionally demonstrate that some individuals form both representation types simultaneously, probably granting flexibility in categorization strategies.

摘要

基于相似性的分类可以通过记忆类别成员作为范例,或者通过抽象类别 - 原型的中心趋势来实现。在对具有两个类别中明确可识别维度的刺激进行基于相似性的分类时,原型表示以前位于海马体和腹内侧前额叶皮层 (vmPFC),而范例表示则位于支持视觉记忆的区域。然而,在单一类别基于感知相似性的分类中,范例和原型表示的神经实现尚不清楚。为了研究这些表示,我们应用了基于点模式范式任务的功能成像数据的基于模型的单变量和多变量分析。单变量原型和范例表示双侧出现在视觉区域中。多变量分析还在顶叶区域中确定了原型表示,在海马体中确定了范例表示。贝叶斯分析支持在海马体和 vmPFC 中不存在原型表示。我们还证明,某些个体同时形成两种表示类型,这可能为分类策略提供了灵活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1c7/9437087/377d3c5034ca/42003_2022_3858_Fig1_HTML.jpg

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