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

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Statistical Significance01:37

Statistical Significance

Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
Statgraphics01:10

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

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...
Introduction to Statistics01:17

Introduction to Statistics

The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...

You might also read

Related Articles

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

Sort by
Same author

English Past Tense and Mandarin Chinese Perfective Aspect in Narratives by Singaporean Bilingual Kindergarten Children.

Journal of speech, language, and hearing research : JSLHR·2025
Same author

ABRACADABRA literacy instruction delivered by speech-language pathologists to children with autism during the COVID-19 pandemic.

International journal of speech-language pathology·2025
Same author

Children's processing of irony during reading in English: An eye-tracking study.

Journal of experimental child psychology·2025
Same author

Statistical learning as a buffer: Investigating its impact on the link between home environment and reading achievement.

Journal of experimental child psychology·2025
Same author

Let the eyes do the talking: A scoping review of eye-tracking in paediatric communication assessment and intervention.

International journal of speech-language pathology·2024
Same author

Revisiting the concreteness effect: Non-arbitrary mappings between form and concreteness of English words influence lexical processing.

Cognition·2024
Same journal

Dynorphinergic neuroadaptations in the islands of Calleja: implications for alcohol use disorder.

Neuroscience letters·2026
Same journal

Differential vulnerability of cochlear nuclei to Lmx1 deficiency: abnormal patterning and implications for auditory circuitry.

Neuroscience letters·2026
Same journal

Role of nNOS/sGC pathway in the insular cortex in control of cardiovascular, autonomic and corticosterone responses to restraint stress in rats.

Neuroscience letters·2026
Same journal

Jak1 inhibition reduces acute allodynia induced by specific upstream cytokines in rats: implications for the onset of Jak1 pain modulation.

Neuroscience letters·2026
Same journal

Glucocorticoids-induced depressive-like behaviors in mice: oral ingestion of corticosterone or hydrocortisone - A comparative study.

Neuroscience letters·2026
Same journal

Data-driven clustering of prefrontal activation identifies functional phenotypes under prioritized dual-task walking conditions in Parkinson's disease.

Neuroscience letters·2026
See all related articles

Related Experiment Video

Updated: May 22, 2026

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

Statistical learning is lasting and consistent over time.

Joanne Arciuli1, Ian Craig Simpson

  • 1Faculty of Health Sciences, University of Sydney, Australia. jarciuli@usyd.edu.au

Neuroscience Letters
|May 8, 2012
PubMed
Summary
This summary is machine-generated.

Statistical learning (SL) is consistent over time in healthy adults. This study found visual SL remained stable across 24 hours, suggesting it is a robust cognitive mechanism.

More Related Videos

Drosophila Courtship Conditioning As a Measure of Learning and Memory
09:29

Drosophila Courtship Conditioning As a Measure of Learning and Memory

Published on: June 5, 2017

Related Experiment Videos

Last Updated: May 22, 2026

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

Drosophila Courtship Conditioning As a Measure of Learning and Memory
09:29

Drosophila Courtship Conditioning As a Measure of Learning and Memory

Published on: June 5, 2017

Area of Science:

  • Cognitive psychology
  • Neuroscience
  • Human cognition

Background:

  • Implicit detection of statistical regularities, or statistical learning (SL), is a fundamental cognitive process.
  • Previous research indicated visual SL persists for up to 24 hours post-stimulus exposure.
  • Understanding the temporal dynamics of SL is crucial for its role in various cognitive functions.

Purpose of the Study:

  • To investigate the temporal stability of visual statistical learning (SL) over extended periods.
  • To determine if visual SL is consistent across different delay intervals after initial familiarization.
  • To assess the robustness of visual SL in healthy adults.

Main Methods:

  • Utilized an embedded triplet paradigm with delayed surprise testing.
  • Examined visual SL at five distinct time points: 30 minutes, 1 hour, 2 hours, 4 hours, and 24 hours post-familiarization.
  • Measured the degree of statistical learning at each delay interval.

Main Results:

  • A significant degree of visual statistical learning was detected at all tested delay periods.
  • The magnitude of visual SL remained consistent across all five delay intervals.
  • Results indicate that visual SL is not fragile and is not enhanced by sleep in healthy adults.

Conclusions:

  • Visual statistical learning demonstrates remarkable temporal consistency in healthy adults.
  • The robustness of visual SL suggests its reliability as a mechanism supporting complex cognitive processes like language.
  • Future research can employ this methodology to explore SL stability in populations with language impairments, such as SLI and dyslexia.