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Separability of Abstract-Category and Specific-Exemplar Visual Object Subsystems: Evidence from fMRI Pattern Analysis

机译:抽象类别和特定样本视觉对象子系统的可分离性:来自fMRI模式分析的证据

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摘要

Previous research indicates that dissociable neural subsystems underlie abstract-category (AC) recognition and priming of objects (e.g., cat, piano) and specific-exemplar (SE) recognition and priming of objects (e.g., a calico cat, a different calico cat, a grand piano, etc.). However, the degree of separability between these subsystems is not known, despite the importance of this issue for assessing relevant theories. Visual object representations are widely distributed in visual cortex, thus a multivariate pattern analysis (MVPA) approach to analyzing functional magnetic resonance imaging (fMRI) data may be critical for assessing the separability of different kinds of visual object processing. Here we examined the neural representations of visual object categories and visual object exemplars using multi-voxel pattern analyses of brain activity elicited in visual object processing areas during a repetition-priming task. In the encoding phase, participants viewed visual objects and the printed names of other objects. In the subsequent test phase, participants identified objects that were either same-exemplar primed, different-exemplar primed, word-primed, or unprimed. In visual object processing areas, classifiers were trained to distinguish same-exemplar primed objects from word-primed objects. Then, the abilities of these classifiers to discriminate different-exemplar primed objects and word-primed objects (reflecting AC priming) and to discriminate same-exemplar primed objects and different-exemplar primed objects (reflecting SE priming) was assessed. Results indicated that (a) repetition priming in occipital-temporal regions is organized asymmetrically, such that AC priming is more prevalent in the left hemisphere and SE priming is more prevalent in the right hemisphere, and (b) AC and SE subsystems are weakly modular, not strongly modular or unified.
机译:先前的研究表明,可分离的神经子系统是对象(例如猫,钢琴)的抽象类别(AC)识别和启动以及对象(例如印花布猫,另一只印花布猫)的特定示例(SE)识别和启动的基础。三角钢琴等)。但是,尽管此问题对于评估相关理论很重要,但这些子系统之间的可分离程度尚不清楚。视觉对象表示形式广泛分布在视觉皮层中,因此用于分析功能性磁共振成像(fMRI)数据的多元模式分析(MVPA)方法对于评估不同类型的视觉对象处理的可分离性可能至关重要。在这里,我们使用重复启动任务期间在视觉对象处理区域中引发的大脑活动的多体素模式分析,检查了视觉对象类别和视觉对象示例的神经表示。在编码阶段,参与者查看了视觉对象以及其他对象的打印名称。在随后的测试阶段,参与者识别出的对象是相同示例的,带底稿的,单词示例的或非入门的。在视觉对象处理领域,对分类器进行了训练,以区分相同示例的底漆对象和单词底漆对象。然后,评估了这些分类器区分不同示例的有底漆的对象和单词有底漆的对象(反映AC底漆)以及区分相同示例的被底漆的对象和不同示例的底漆的对象(反映SE底漆)的能力。结果表明:(a)枕颞区的重复启动是不对称的,因此AC启动在左半球更为普遍,SE启动在右半球更为普遍,并且(b)AC和SE子系统的模块化程度较弱,不是高度模块化或统一的。

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