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

Language Development01:22

Language Development

741
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
741
Introduction to Structures01:30

Introduction to Structures

1.6K
A structure is defined as a system of interconnected members designed to support or transfer forces and successfully withstand the loads acting on them. The internal forces of a structure can be determined by decomposing the structure and analyzing the free-body diagrams of the individual members or of a combination of members. This helps in understanding the structural elements' behavior and ensuring that the structure is stable and can withstand the subjected loads.
There are three main...
1.6K
Language and Cognition01:27

Language and Cognition

642
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
642
Components of Language01:24

Components of Language

678
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
678
RNA Structure01:23

RNA Structure

78.5K
Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
78.5K
RNA Structure01:19

RNA Structure

6.6K
The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
6.6K

You might also read

Related Articles

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

Sort by
Same author

Linguists should learn to love speech-based deep learning models.

The Behavioral and brain sciences·2026
Same author

Integrating community Live Reviews into academic publishing: an exploratory study.

Research integrity and peer review·2026
Same author

Immediate to longer-term neurophysiological impact of acute neural network disruption.

medRxiv : the preprint server for health sciences·2026
Same author

Functional Near-Infrared Spectroscopy in Hearing Loss: A Systematic Review of Cortical Responses in Distinct Clinical Populations.

Brain sciences·2026
Same author

First Sounds of Emotion: Newborns' Sensitivity to Emotional Prosody and Its Relation With Maternal Depressive Traits.

Infancy : the official journal of the International Society on Infant Studies·2026
Same author

Singing to the newborn brain uncovers early traces of specialized neural networks.

Communications psychology·2026
Same journal

An Introduction to Rational Constructivism in Cognitive Development.

Topics in cognitive science·2026
Same journal

Fungal Memory and Minimal Cognition.

Topics in cognitive science·2026
Same journal

Limits to Language Prediction: Findings From Diverse Populations.

Topics in cognitive science·2026
Same journal

There Is More Than Meets the Eye: The Dual Role of Perception in Shaping Color Lexicons.

Topics in cognitive science·2026
Same journal

Inference and Imagination.

Topics in cognitive science·2026
Same journal

Gesture Use Across Different Concepts: Focusing on Cross-Linguistic Diversity.

Topics in cognitive science·2026
See all related articles

Related Experiment Video

Updated: Dec 27, 2025

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

6.3K

Editors' Review and Introduction: Learning Grammatical Structures: Developmental, Cross-Species, and Computational

Carel Ten Cate1,2, Judit Gervain3,4, Clara C Levelt2,5

  • 1Institute of Biology, Leiden University.

Topics in Cognitive Science
|March 6, 2020
PubMed
Summary
This summary is machine-generated.

Artificial Grammar Learning (AGL) research explores how humans and animals learn rules for structured sequences, offering insights into language acquisition. Studies reveal that the limits of learning capabilities in humans, animals, and machines are yet to be fully discovered.

Area of Science:

  • Cognitive Science
  • Linguistics
  • Comparative Psychology
  • Artificial Intelligence
Keywords:
AnimalsArtificial grammar learningComparative studiesComputational modelsDevelopmentHumansInfantsLanguageSequence learning

More Related Videos

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.9K
An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing
04:30

An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing

Published on: October 25, 2019

6.0K

Related Experiment Videos

Last Updated: Dec 27, 2025

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

6.3K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.9K
An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing
04:30

An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing

Published on: October 25, 2019

6.0K

Background:

  • Human language relies on grammar, the rules governing symbol combination for meaningful expressions.
  • The evolutionary, developmental, cognitive, and computational underpinnings of grammatical abilities remain incompletely understood.
  • Artificial Grammar Learning (AGL) offers a framework to investigate rule and sequence learning.