Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Cognitive Control in Semantic Memory

View through CrossRef
Semantic cognition includes taxonomic and thematic relationships, as well as control systems to retrieve and manipulate semantic knowledge to suit specific tasks or contexts. A recent report (Thompson et al., 2017) suggested that retrieving thematic relationships (i.e., relations based on participation in the same event or scenarios) requires more effort or cognitive control, especially when the relevant relations are weak, than retrieving identity relations that are based on sensory-motor features. It is not clear whether the same contrast applies to the broader set of taxonomic relations, which are also based on shared sensory-motor features. In this study we tested cognitive control requirements of retrieving taxonomic and thematic knowledge using a physiological measure of cognitive effort: pupil dilation. Participants completed a semantic relatedness judgement task that manipulated semantic type (thematic vs. taxonomic) and relatedness strength (high vs. low) of word pairs. Cognitive control in the similarity task was examined using task-evoked pupillary responses (TEPRs), as well as standard behavioral measures (reaction times and accuracy). Compared with high-strength relations, low-strength semantic relations elicited larger TERPs, slower reaction times, and lower accuracy, consistent with higher control demands. Compared to thematic relations, taxonomic relations also elicited larger TERPs and slower reaction times, suggesting that retrieving taxonomic relations required more cognitive effort. Critically, our pupillometric data indicated that controlled processing was particularly important for low-strength taxonomic pairs rather than low-strength thematic pairs. These findings indicate that semantic control demands are primarily determined by relatedness strength, not whether the relationship is taxonomic or thematic.
Title: Cognitive Control in Semantic Memory
Description:
Semantic cognition includes taxonomic and thematic relationships, as well as control systems to retrieve and manipulate semantic knowledge to suit specific tasks or contexts.
A recent report (Thompson et al.
, 2017) suggested that retrieving thematic relationships (i.
e.
, relations based on participation in the same event or scenarios) requires more effort or cognitive control, especially when the relevant relations are weak, than retrieving identity relations that are based on sensory-motor features.
It is not clear whether the same contrast applies to the broader set of taxonomic relations, which are also based on shared sensory-motor features.
In this study we tested cognitive control requirements of retrieving taxonomic and thematic knowledge using a physiological measure of cognitive effort: pupil dilation.
Participants completed a semantic relatedness judgement task that manipulated semantic type (thematic vs.
taxonomic) and relatedness strength (high vs.
low) of word pairs.
Cognitive control in the similarity task was examined using task-evoked pupillary responses (TEPRs), as well as standard behavioral measures (reaction times and accuracy).
Compared with high-strength relations, low-strength semantic relations elicited larger TERPs, slower reaction times, and lower accuracy, consistent with higher control demands.
Compared to thematic relations, taxonomic relations also elicited larger TERPs and slower reaction times, suggesting that retrieving taxonomic relations required more cognitive effort.
Critically, our pupillometric data indicated that controlled processing was particularly important for low-strength taxonomic pairs rather than low-strength thematic pairs.
These findings indicate that semantic control demands are primarily determined by relatedness strength, not whether the relationship is taxonomic or thematic.

Related Results

A Semantic Orthogonal Mapping Method Through Deep-Learning for Semantic Computing
A Semantic Orthogonal Mapping Method Through Deep-Learning for Semantic Computing
In order to realize an artificial intelligent system, a basic mechanism should be provided for expressing and processing the semantic. We have presented semantic computing models i...
Impact of Tinnitus on Quality of Life and Cognitive Function in Adults: A Systematic Review
Impact of Tinnitus on Quality of Life and Cognitive Function in Adults: A Systematic Review
Background: Tinnitus is often associated with cognitive difficulties, especially in attention and executive functioning. However, it remains unclear how much tinnitus itself contri...
Midlife Marital Status and Subsequent Cognitive Decline over 20 Years: Discovery from ARIC
Midlife Marital Status and Subsequent Cognitive Decline over 20 Years: Discovery from ARIC
Background — Recent studies show that marriage is associated with a protective effect against cognitive decline among older adults. However, definite evidence from large prospectiv...
Cognitive Science Approaches in Biblical Studies
Cognitive Science Approaches in Biblical Studies
Since the mid-2000s, cognitive science approaches have been used in biblical studies. Cognitive science came into existence in the 1950s as a reaction to the psychological behavior...
ON FORMAL AND COGNITIVE SEMANTICS FOR SEMANTIC COMPUTING
ON FORMAL AND COGNITIVE SEMANTICS FOR SEMANTIC COMPUTING
Semantics is the meaning of symbols, notations, concepts, functions, and behaviors, as well as their relations that can be deduced onto a set of predefined entities and/or known co...
Semantic Excel: An Introduction to a User-Friendly Online Software Application for Statistical Analyses of Text Data
Semantic Excel: An Introduction to a User-Friendly Online Software Application for Statistical Analyses of Text Data
Semantic Excel (www.semanticexcel.com) is an online software application with a simple, yet powerful interface enabling users to perform statistical analyses on texts. The purpose ...
Exploiting Wikipedia Semantics for Computing Word Associations
Exploiting Wikipedia Semantics for Computing Word Associations
<p><b>Semantic association computation is the process of automatically quantifying the strength of a semantic connection between two textual units based on various lexi...
Effects of work cessation on cognitive functioning in rural older adults in China: a cross-sectional study based on CHARLS
Effects of work cessation on cognitive functioning in rural older adults in China: a cross-sectional study based on CHARLS
Objectives This study investigated the effects of work cessation on cognitive function among older adults in rural China. Given that cognitive disorders affect 6....

Back to Top