Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Modeling and Similitude01:12

Modeling and Similitude

462
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
462
Clearance Models: Physiological Models01:09

Clearance Models: Physiological Models

192
Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
The organ's clearance rate depends on the blood flow to the organ and the extraction ratio (E). The extraction ratio describes the organ's...
192
Modeling in Therapy01:26

Modeling in Therapy

260
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
260
Steps in the Modeling Process01:14

Steps in the Modeling Process

498
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
498
Morphogenesis02:19

Morphogenesis

29.4K
Plant morphogenesis—the development of a plant’s form and structure—involves several overlapping developmental processes, including growth and cell differentiation. Precursor cells differentiate into specific cell types, which are organized into the tissues and organ systems that make up the functional plant.
29.4K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

181
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
181

You might also read

Related Articles

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

Sort by
Same author

Same Sentences, Different Grammars, Different Brain Responses?: An MEG Study on Case and Agreement Encoding in Hindi and Nepali Split-Ergative Structures.

Neurobiology of language (Cambridge, Mass.)·2026
Same author

Productivity matters for the neural processing of novel words, but not existing ones.

Cognition·2026
Same author

Semantic Typicality of Affixes Facilitates Word Processing: MEG Evidence From Arabic.

Neurobiology of language (Cambridge, Mass.)·2025
Same author

The neurobiology of human sequential signal prediction: Insights from language, music, and mathematics.

Neuroscience research·2025
Same author

Hierarchical dynamic coding coordinates speech comprehension in the human brain.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

A unified neural representation model for spatial and conceptual computations.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same journal

Effects of integrating a structured design thinking strategy into generative AI-supported design learning on students' design achievement, creative self-efficacy, and problem-solving skills.

Frontiers in psychology·2026
Same journal

Fukushima treated water release and marine sports.

Frontiers in psychology·2026
Same journal

Mindful parenting and preschoolers' screen dependency behavior: the mediating role of parent-child relationship and the moderating role of effortful control.

Frontiers in psychology·2026
Same journal

Dynamic relationships among first-year university students' critical thinking, academic self-concept, and student engagement: a cross-lagged study.

Frontiers in psychology·2026
Same journal

The association between academic major identity and career decision-making difficulty among Chinese college students: a sequential indirect association model of psychological capital and career adaptability.

Frontiers in psychology·2026
Same journal

Job quality and fertility intentions among Chinese migrant workers: the role of traditional fertility beliefs.

Frontiers in psychology·2026
See all related articles

Related Experiment Video

Updated: Nov 27, 2025

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.1K

Modeling Human Morphological Competence.

Yohei Oseki1,2, Alec Marantz2,3,4

  • 1Faculty of Science & Engineering, Waseda University, Tokyo, Japan.

Frontiers in Psychology
|December 7, 2020
PubMed
Summary
This summary is machine-generated.

Human morphological competence relies on abstract hierarchical structures, not just linear word patterns. Computational models with morpheme units, especially hierarchical ones, best predict human judgments on complex words.

Keywords:
acceptabilitycomputational modelinggrammaticalitymorphologyprobabilitypsycholinguistics

More Related Videos

Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum
04:32

Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum

Published on: March 19, 2017

7.8K
Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.7K

Related Experiment Videos

Last Updated: Nov 27, 2025

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.1K
Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum
04:32

Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum

Published on: March 19, 2017

7.8K
Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.7K

Area of Science:

  • Cognitive Science
  • Psycholinguistics
  • Computational Linguistics

Background:

  • The nature of human linguistic competence is debated, particularly whether it involves abstract hierarchical structures or linear strings.
  • Morphological competence, unlike syntactic competence, has been less explored regarding its structural representation.

Purpose of the Study:

  • To investigate if human morphological competence is best characterized by abstract hierarchical structures.
  • To compare the performance of various computational models against human acceptability judgments for morphologically complex words.

Main Methods:

  • A crowdsourced acceptability judgment experiment was conducted using morphologically complex words.
  • Five computational models were evaluated: Character Markov Models, Syllable Markov Models, Morpheme Markov Models, Hidden Markov Models (HMM), and Probabilistic Context-Free Grammars (PCFG).

Main Results:

  • Models incorporating morpheme units ('morphous') outperformed those without ('amorphous').
  • Probabilistic Context-Free Grammars (PCFG), which utilize hierarchical structures, most accurately explained human acceptability judgments.
  • PCFG performance was particularly strong for words with nested morphological structures.

Conclusions:

  • Human morphological competence is likely based on abstract, internally generated hierarchical structures.
  • This contrasts with models that reduce competence to surface linear strings found in corpora.
  • Findings support a generative, hierarchical view of morphological processing in the human mind.