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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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Related Experiment Video

Updated: Dec 6, 2025

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
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Implicit learning of two artificial grammars.

C Guillemin1,2,3, B Tillmann4,5,6

  • 1Lyon Neuroscience Research Center, Auditory Cognition and Psychoacoustics Team, Bron, France.

Cognitive Processing
|October 6, 2020
PubMed
Summary
This summary is machine-generated.

Participants implicitly learned complex auditory patterns from artificial grammars. This demonstrates the brain

Keywords:
Artificial grammarDual-system learningImplicit cognitionIncidental learning

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Area of Science:

  • Cognitive psychology
  • Auditory perception
  • Machine learning

Background:

  • Implicit learning refers to the acquisition of knowledge about complex rule systems without conscious awareness.
  • Artificial grammars provide controlled stimuli to investigate the mechanisms of implicit learning.
  • Auditory perception research explores how humans process and learn patterns in sound.

Purpose of the Study:

  • To investigate the implicit learning of regularities within artificial auditory systems.
  • To determine if participants can distinguish between two distinct auditory grammars based on learned patterns.
  • To assess the ability to detect grammatical errors in novel auditory sequences.

Main Methods:

  • Two finite-state grammars with identical tone sets and timbres were used.
  • Participants underwent separate exposure phases for each grammar.
  • Two tasks were employed: grammar categorization and grammatical error detection.

Main Results:

  • Participants successfully categorized new auditory items according to their respective grammars.
  • Participants accurately detected grammatical errors in novel sequences from both grammars.
  • Performance indicates robust implicit learning of auditory regularities.

Conclusions:

  • The human auditory system is capable of implicit learning of complex regularities within a single modality.
  • Shared perceptual properties of auditory stimuli facilitate intra-modal implicit learning.
  • Findings support the brain's ability to extract and utilize structural information from auditory sequences.