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

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...
Observational Learning01:12

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...
Cognitive Learning01:21

Cognitive Learning

Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Introduction to MATLAB01:24

Introduction to MATLAB

MATLAB stands for Matrix Laboratory. MathWorks developed MATLAB as a multi-paradigm numerical computing environment and proprietary programming language. It has evolved significantly over the years to become a tool utilized by engineers, scientists, and mathematicians for various tasks, including matrix calculations, developing algorithms, data analysis, and visualization. MATLAB's applications span various industries and disciplines. It's used in image and signal processing, communications,...
Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
Principles of Classical Conditioning01:23

Principles of Classical Conditioning

Classical conditioning, as described by Ivan Pavlov, is a foundational concept in associative learning, where a neutral stimulus becomes capable of eliciting a conditioned response through association with an unconditioned stimulus. The process of acquisition, where this learning occurs, and the subsequent phenomena of contiguity, contingency, generalization, discrimination, extinction, and spontaneous recovery are crucial for a comprehensive understanding of classical conditioning.
During the...

You might also read

Related Articles

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

Sort by
Same author

Test-Retest Reliability and Inter-Scanner Reproducibility of Improved Spinal Diffusion Tensor Imaging.

Diagnostics (Basel, Switzerland)·2025
Same author

Corrigendum to "Detection of spinal long fiber tract degeneration in HSP: Improved diffusion tensor imaging" [NeuroImage Clin. 36 (2022) 103213].

NeuroImage. Clinical·2025
Same author

SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry.

Artificial intelligence in medicine·2025
Same author

Action Selection in Everyday Activities: The Opportunistic Planning Model.

Cognitive science·2024
Same author

The effect of prediction error on overt attention and learning in humans.

Behavioural processes·2023
Same author

Tare Soil Disinfestation from Cyst Nematodes Using Inundation.

Life (Basel, Switzerland)·2023

Related Experiment Video

Updated: Jun 26, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

ALTSim: a MATLAB simulator for current associative learning theories.

Anna Thorwart1, Holger Schultheis2, Stephan König3

  • 1Department of Psychology, Philipps-Universität Marburg, Gutenbergstraße 18, 35032, Marburg, Germany. anna.thorwart@staff.uni-marburg.de.

Behavior Research Methods
|February 3, 2009
PubMed
Summary

ALTSim is a free MATLAB tool for simulating multiple associative learning models, aiding in the evaluation and comparison of theories like Pearce's configural model and the Rescorla-Wagner model.

More Related Videos

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
11:32

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

Published on: January 19, 2022

Related Experiment Videos

Last Updated: Jun 26, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
11:32

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

Published on: January 19, 2022

Area of Science:

  • Cognitive Psychology
  • Computational Neuroscience
  • Machine Learning

Background:

  • Associative learning models are crucial for understanding how organisms learn associations.
  • Existing computational tools may lack the flexibility to compare diverse models.
  • There is a need for accessible software to simulate and contrast prominent associative learning theories.

Purpose of the Study:

  • To introduce ALTSim, a MATLAB-based simulator for various associative learning models.
  • To provide a user-friendly platform for specifying model parameters and stimulus sequences.
  • To facilitate the evaluation and comparison of different associative learning models.

Main Methods:

  • ALTSim is developed in MATLAB, offering a graphical user interface (GUI).
  • The simulator incorporates multiple established associative learning models: Pearce's configural, extended configural, Rescorla-Wagner, unique cue hypothesis, modified unique cue hypothesis, replaced elements, and Harris's elemental model.
  • Users can define specific parameters and stimulus sequences through the GUI.

Main Results:

  • ALTSim enables the simulation of complex associative learning scenarios.
  • The software allows for direct comparison of predictions from different theoretical models.
  • It serves as a valuable tool for researchers in cognitive psychology and related fields.

Conclusions:

  • ALTSim provides an accessible and versatile platform for associative learning research.
  • The simulator simplifies the process of testing and comparing computational models of learning.
  • It is freely available, promoting wider use and advancement in the field.