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

Chunking01:12

Chunking

331
Chunking is a powerful cognitive technique that improves short-term memory retention by organizing information into smaller, more manageable units. The brain, limited by working memory capacity, can more easily process and store information when it is divided into "chunks" rather than presented as discrete, unrelated elements. Chunking is especially useful when dealing with large amounts of information, such as numerical sequences, words, or complex ideas.
The principle behind chunking...
331
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

485
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
485
Cluster Sampling Method01:20

Cluster Sampling Method

13.8K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
13.8K
Storage01:23

Storage

278
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
278
Associative Learning01:27

Associative Learning

1.0K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
1.0K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

13.5K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
13.5K

You might also read

Related Articles

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

Sort by
Same author

Classification errors distort findings in automated speech processing: Examples and solutions from child-development research.

Behavior research methods·2026
Same author

Conversational alignment as an individual difference.

Proceedings. Biological sciences·2026
Same author

Multimodality as a safeguard of honesty in communication and language: from Animals to Humans.

The Behavioral and brain sciences·2026
Same author

Evidence for the representation of non-hierarchical structures in language.

Nature human behaviour·2026
Same author

Social Tinkering: The Social Foundations of Cultural Complexity.

The Behavioral and brain sciences·2025
Same author

Measuring the semantic priming effect across many languages.

Nature human behaviour·2025
Same journal

Pronoun Resolution in Turkish: The Interplay of Referential Form, Word Order, and Implicit Causality.

Cognitive science·2026
Same journal

What's in a Color?: Language, Synesthesia, and Categorical Perception.

Cognitive science·2026
Same journal

Reasoning Beyond Explicit Rules: Adults' and Children's Use of Closure Principles in Novel Cases.

Cognitive science·2026
Same journal

Intermediary Object States Are Activated by Sentences Describing Completed Events.

Cognitive science·2026
Same journal

Large Language Models Estimate Fine-Grained Human Color-Concept Associations.

Cognitive science·2026
Same journal

Computational Models of Causal Reasoning: Bayesian Accounts of Normative Violations.

Cognitive science·2026
See all related articles

Related Experiment Video

Updated: Dec 16, 2025

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

Statistically Induced Chunking Recall: A Memory-Based Approach to Statistical Learning.

Erin S Isbilen1, Stewart M McCauley2, Evan Kidd3,4,5

  • 1Department of Psychology, Cornell University.

Cognitive Science
|July 2, 2020
PubMed
Summary
This summary is machine-generated.

Statistical learning, the process of detecting regularities, is explained by memory chunking. A new recall task shows improved memory for statistically structured information, supporting this theory.

Keywords:
ChunkingLanguageLanguage acquisitionLearningMemoryNonword repetitionSerial recallStatistical learning

More Related Videos

A Real-world What-Where-When Memory Test
09:13

A Real-world What-Where-When Memory Test

Published on: May 16, 2017

11.9K
Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm
06:35

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm

Published on: April 28, 2016

34.9K

Related Experiment Videos

Last Updated: Dec 16, 2025

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
A Real-world What-Where-When Memory Test
09:13

A Real-world What-Where-When Memory Test

Published on: May 16, 2017

11.9K
Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm
06:35

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm

Published on: April 28, 2016

34.9K

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Memory Research

Background:

  • The cognitive mechanisms underlying statistical learning remain debated.
  • Previous research suggests memory processes, specifically chunking, may play a role.
  • Short-term memory is influenced by long-term distributional learning patterns.

Purpose of the Study:

  • To investigate the role of chunking in statistical learning.
  • To develop and validate a novel paradigm for assessing statistical learning.
  • To compare the novel paradigm with existing methods for reliability and sensitivity.

Main Methods:

  • Development of the statistically induced chunking recall (SICR) task.
  • Participants learned an artificial language and then recalled structured vs. random syllable strings.
  • Auditory and visual modalities were tested, alongside standard two-alternative forced-choice tasks.

Main Results:

  • The SICR task demonstrated significantly improved recall for statistically structured items.
  • Participants successfully recalled specific trigram chunks from the learned language.
  • SICR showed higher test-retest reliability and sensitivity to individual differences than existing tasks.

Conclusions:

  • Empirical evidence supports the chunking account of statistical learning.
  • The SICR task is a valid and reliable tool for measuring statistical learning.
  • This paradigm advances our understanding of how statistical regularities are processed and remembered.