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

Associative Learning01:27

Associative Learning

815
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...
815

You might also read

Related Articles

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

Sort by
Same author

Outcome unpredictability affects outcome-specific motivation to learn.

Psychonomic bulletin & review·2021
Same author

Does learning history shape the associability of outcomes? Further tests of the outcome predictability effect.

PloS one·2020
Same author

Adding or removing context components equally disrupts extinction in human predictive learning.

Behavioural processes·2020
Same author

Testing the deductive inferential account of blocking in causal learning.

Memory & cognition·2019
Same author

Transfer of associability and relational structure in human associative learning.

Journal of experimental psychology. Animal learning and cognition·2019
Same author

Learned biases in the processing of outcomes: A brief review of the outcome predictability effect.

Journal of experimental psychology. Animal learning and cognition·2019
Same journal

The causal efficacy of consciousness: a neuroscientific analysis and explanation.

Frontiers in human neuroscience·2026
Same journal

Temporal-oscillatory entrainment: a multi-timescale framework for rhythmic coordination from neural to social frequencies.

Frontiers in human neuroscience·2026
Same journal

Role of AQP4 in ameliorating heat stress-induced cellular injury in a cell line model through active heat acclimation.

Frontiers in human neuroscience·2026
Same journal

Correction: Cognitive state monitoring for neuroadaptive information visualization.

Frontiers in human neuroscience·2026
Same journal

The synthetic self-hypothesis: dopaminergic redirection through self-face recognition in stuttering therapy.

Frontiers in human neuroscience·2026
Same journal

A randomised, placebo-controlled, triple-blind clinical trial to investigate the efficacy of <i>Ginkgo biloba</i> extract EGb 761<sup>®</sup> in cognitive impairment associated with post COVID-19 syndrome-the EGb COCOS protocol.

Frontiers in human neuroscience·2026
See all related articles

Related Experiment Video

Updated: Nov 8, 2025

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents
09:01

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

Published on: July 8, 2015

12.8K

Time in Associative Learning: A Review on Temporal Maps.

Midhula Chandran1, Anna Thorwart1

  • 1Department of Psychology, Philipps-Universität Marburg, Marburg, Germany.

Frontiers in Human Neuroscience
|April 23, 2021
PubMed
Summary
This summary is machine-generated.

The Temporal Coding Hypothesis integrates associative learning with temporal information. It proposes "temporal maps" to represent event timing, aiding in understanding and predicting behavior.

Keywords:
associative learningconditioningtemporal learningtemporal mapstime

More Related Videos

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.1K
Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents
04:41

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents

Published on: December 2, 2022

3.0K

Related Experiment Videos

Last Updated: Nov 8, 2025

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents
09:01

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

Published on: July 8, 2015

12.8K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.1K
Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents
04:41

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents

Published on: December 2, 2022

3.0K

Area of Science:

  • Cognitive Science
  • Neuroscience
  • Behavioral Psychology

Background:

  • Traditional associative learning theories often neglect the role of time.
  • Temporal learning is frequently treated as a separate process.
  • A unified approach is needed to integrate temporal aspects into associative learning.

Purpose of the Study:

  • To introduce and elaborate on the Temporal Coding Hypothesis.
  • To propose "temporal maps" as a representational framework for associative learning.
  • To review empirical support for temporal maps and their implications.

Main Methods:

  • Review of empirical evidence supporting the construct of temporal maps.
  • Theoretical integration of associative and non-associative learning aspects.
  • Discussion of the proposed integration mechanism within temporal maps.

Main Results:

  • Temporal maps encode multiple facets of learned associations, emphasizing temporal information.
  • An integration mechanism allows inferences about missing information using common elements across temporal maps.
  • Empirical evidence supports the existence and function of temporal maps.

Conclusions:

  • The Temporal Coding Hypothesis offers a novel framework for understanding associative learning.
  • Temporal maps are crucial for integrating temporal information into learned associations.
  • This concept has significant potential for clinical and behavioral interventions.