2017
DOI: 10.3389/fcomm.2017.00012
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Memory-Based Specification of Verbal Features for Classifying Animals into Super-Ordinate and Sub-Ordinate Categories

Abstract: Accumulating evidence suggests that category representations are based on features. Distinguishing features are considered to define categories, because of all-or-none responses for objects in different categories; however, it is unclear how distinguishing features actually classify objects at various category levels. The present study included 75 animals within three classes (mammal, bird, and fish), along with 195 verbal features. Healthy adults participated in memory-based feature-animal matching verificati… Show more

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Cited by 4 publications
(2 citation statements)
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“…For example, fear provides individuals with a danger alert, leading to escape behaviors (Frijda, 1987;Lowe & Ziemke, 2011). To categorize and recognize discrete concepts, the presence of distinguishing features is essential (Deng & Sloutsky, 2015;Rosch et al, 1976;Soshi et al, 2017). Thus, these behavioral features, even though less central than other features, also function to discriminate between sadness and other emotional concepts.…”
Section: Part 2 Results and Discussionmentioning
confidence: 99%
“…For example, fear provides individuals with a danger alert, leading to escape behaviors (Frijda, 1987;Lowe & Ziemke, 2011). To categorize and recognize discrete concepts, the presence of distinguishing features is essential (Deng & Sloutsky, 2015;Rosch et al, 1976;Soshi et al, 2017). Thus, these behavioral features, even though less central than other features, also function to discriminate between sadness and other emotional concepts.…”
Section: Part 2 Results and Discussionmentioning
confidence: 99%
“…The distance matrix was projected to two dimensions. Detailed procedure of data collection of semantic similarity can be referenced to our previous study 48 .…”
Section: Methodsmentioning
confidence: 99%