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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.
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Related Experiment Video

Updated: Jul 11, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

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

Published on: May 3, 2018

Implicit learning of second-, third-, and fourth-order adjacent and nonadjacent sequential dependencies.

Gilbert Remillard1

  • 1Department of Psychology, 601 Ginger Hall, Morehead State University, Morehead, KY 40351, USA. g.remillard@moreheadstate.edu

Quarterly Journal of Experimental Psychology (2006)
|September 14, 2007
PubMed
Summary
This summary is machine-generated.

People can implicitly learn complex patterns in sequences. This study demonstrates the learning of second-, third-, and fourth-order dependencies, overcoming previous limitations in sequential reaction time task research.

Related Experiment Videos

Last Updated: Jul 11, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

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

Published on: May 3, 2018

Area of Science:

  • Cognitive psychology
  • Neuroscience
  • Human learning

Background:

  • Serial reaction time (SRT) tasks reveal implicit learning of adjacent dependencies.
  • Sequential confounds limit understanding of nonadjacent and higher-order dependencies.

Purpose of the Study:

  • To investigate implicit learning of second-, third-, and fourth-order dependencies.
  • To address sequential confounds in SRT task research.
  • To examine learning of both adjacent and nonadjacent dependencies.

Main Methods:

  • Utilized a modified Serial Reaction Time (SRT) task.
  • Employed probabilistic sequences of target locations.
  • Designed stimuli to overcome sequential confounds.

Main Results:

  • Demonstrated implicit learning of second-order adjacent dependencies.
  • Showed implicit learning of third- and fourth-order adjacent dependencies.
  • Provided evidence for implicit learning of nonadjacent dependencies.

Conclusions:

  • Implicit learning extends beyond first- and second-order adjacent dependencies.
  • The study successfully addressed confounds in SRT research.
  • Humans can implicitly learn complex sequential structures, including nonadjacent relationships.