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

You might also read

Related Articles

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

Sort by

Same author

The Influence of Insecticide Resistance, Age, Sex, and Blood Feeding Frequency on Thermal Tolerance of Wild and Laboratory Phenotypes of Anopheles funestus (Diptera: Culicidae).

Journal of medical entomology·2016

Same author

Editorial: towards extended acid suppression--the search continues.

Alimentary pharmacology & therapeutics·2015

Same author

The stomach in health and disease.

Gut·2015

Same author

Editorial: healing of refractory reflux oesophagitis--an ongoing unmet clinical need.

Alimentary pharmacology & therapeutics·2014

Same author

Commentary: independent risk factors for recurrent neoplasia after endoscopic resection of early gastric cancer.

Alimentary pharmacology & therapeutics·2014

Same author

Malaria in South Africa: 110 years of learning to control the disease.

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde·2013

Search research articles

Related Experiment Video

Updated: Jul 24, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

Statistical learning in a serial reaction time task: access to separable statistical cues by individual learners.

R H Hunt¹, R N Aslin

¹Department of Brain and Cognitive Sciences, University of Rochester, New York 14627-0268, USA. ruskin@bcs.rochester.edu

Journal of Experimental Psychology. General

|January 5, 2002

Summary

Adult learners effectively use statistical information from serial reaction time tasks. They can simultaneously exploit multiple sources of predictability, demonstrating robust statistical learning abilities.

More Related Videos

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Published on: August 29, 2018

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

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

Published on: June 30, 2020

Related Experiment Videos

Last Updated: Jul 24, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Published on: August 29, 2018

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

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

Published on: June 30, 2020

Area of Science:

Cognitive psychology
Human learning
Statistical inference

Background:

Previous research explored statistical learning and implicit sequence learning.
Understanding how learners process complex probabilistic information is crucial.

Purpose of the Study:

To investigate adult learners' ability to exploit joint and conditional probabilities.
To examine how learners utilize deterministic and probabilistic information in a serial reaction time task.

Main Methods:

Adult learners performed a serial reaction time task.
The task incorporated both deterministic and probabilistic elements.
Learners' strategies for exploiting multiple statistical sources were analyzed.

Main Results:

Most learners accurately acquired the task's statistical structure.
Some learners employed alternative, partially predictive strategies.
Learners demonstrated the ability to exploit multiple sources of predictability simultaneously.

Conclusions:

Adults possess a robust learning mechanism for statistical information.
This mechanism is adept at simultaneously processing multiple predictability sources.
Findings advance understanding of statistical, artificial grammar, and implicit sequence learning.