Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Self-Concept

Self-Concept

Self-concept is the cognitive and emotional understanding individuals hold about their identity. It evolves through various developmental stages, beginning in infancy and maturing as children grow. This concept influences how individuals perceive their abilities, interact with others, and manage challenges throughout life.
Infancy and Emerging Recognition
During infancy, self-concept is virtually nonexistent. Babies do not distinguish themselves as separate entities and often mistake their...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Nursing Implementation

Nursing Implementation

Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.

Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

Formula Mass and Mole Concepts of Compounds

Formula Mass and Mole Concepts of Compounds

Formula Mass of Covalent Compounds

Concepts and Prototypes

Concepts and Prototypes

The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Memory reactivation during sleep promotes structure abstraction.

bioRxiv : the preprint server for biology·2026

Same author

Predicting Post-Stroke Aphasia Speech Performance from Multimodal Data with Explainable Machine Learning.

bioRxiv : the preprint server for biology·2026

Same author

Neural dynamics during the generation and evaluation of creative and non-creative ideas.

Communications biology·2025

Same author

Lesion-Induced Changes to the Network Controllability of the Right Pars Triangularis in Aphasia.

Neurobiology of language (Cambridge, Mass.)·2025

Same author

Conversational linguistic features inform social-relational inference.

Psychonomic bulletin & review·2025

Same author

Money versus performance feedback: money associated with lower feelings of cognitive fatigue.

Journal of clinical and experimental neuropsychology·2024

Same journal

Exploring psychological tradeoffs: Developing and demonstrating an R Shiny app for Pareto optimization.

Behavior research methods·2026

Same journal

The performance of Bayesian fit measures in detecting misspecified multilevel structural equation modeling.

Behavior research methods·2026

Same journal

Psychometric functions from multiple responses : Dedicated to the memory of Colin L. Mallows.

Behavior research methods·2026

Same journal

Low-cost, open-source, full-stack software and Arduino-based hardware for control of commercially available animal behavior systems.

Behavior research methods·2026

Same journal

PyNeon: A Python package for the analysis of Neon multimodal mobile eye-tracking data.

Behavior research methods·2026

Same journal

Talking surveys: How photorealistic embodied conversational agents shape response quality, engagement, and satisfaction.

Behavior research methods·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 27, 2026

Designing and Implementing Nervous System Simulations on LEGO Robots

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

Implementing a concept network model.

Sarah H Solomon¹, John D Medaglia², Sharon L Thompson-Schill³

¹Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA. sarahsol@sas.upenn.edu.

Behavior Research Methods

|March 21, 2019

Summary

This summary is machine-generated.

This study introduces a network model to understand conceptual flexibility. Network structure predicts how flexibly concepts are used in different contexts, revealing insights into cognitive and semantic systems.

Keywords:

Conceptual flexibility Conceptual knowledge Network science

More Related Videos

Design and Implementation of a Rat Ex Vivo Lung Perfusion Model

Design and Implementation of a Rat Ex Vivo Lung Perfusion Model

Published on: May 26, 2023

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Related Experiment Videos

Last Updated: Jan 27, 2026

Designing and Implementing Nervous System Simulations on LEGO Robots

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

Design and Implementation of a Rat Ex Vivo Lung Perfusion Model

Design and Implementation of a Rat Ex Vivo Lung Perfusion Model

Published on: May 26, 2023

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Area of Science:

Cognitive Science
Computational Linguistics
Network Science

Background:

Concepts exhibit flexibility, adapting meaning and form based on context.
Understanding conceptual flexibility is key to cognitive and semantic systems.
Existing models may not fully capture the structural underpinnings of this flexibility.

Purpose of the Study:

To propose and validate a feature-based network model for capturing conceptual flexibility.
To investigate the relationship between concept network structure and flexibility of use.
To demonstrate how network topology informs conceptual representation.

Main Methods:

Modeled concepts as graph-theoretical networks with properties as nodes and associations as edges.
Extracted formal network measures to quantify structural characteristics.
Compared network measures against a text-based semantic diversity metric and empirical data from figurative language and alternative uses tasks.

Main Results:

Network-based measures successfully predicted semantic diversity and empirical measures of flexible concept use.
The study highlights the predictive power of network structure for conceptual flexibility.
Formal measures of network topology and informational content correlate with concept use variations.

Conclusions:

A feature-based network model can formally capture and predict conceptual flexibility.
The structure and informational content of concept networks are crucial for understanding variations in concept representation and use.
This approach offers a novel framework for analyzing cognitive and semantic structures.