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Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
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In operant conditioning, the timing of reinforcement is crucial. For animals like rats and cats, immediate reinforcement (within a few seconds) is much more effective than delayed reinforcement. For example, a food reward for a rat needs to follow within 30 seconds of pressing a bar to be effective. 
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Explicit memories, also known as declarative memories, are consciously remembered, recalled, and reported. Studying for a chemistry exam involves material that will become part of explicit memory. There are two types of explicit memory: episodic and semantic.
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Related Experiment Video

Updated: Sep 23, 2025

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
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Implicit Versus Explicit Timing-Separate or Shared Mechanisms?

Sophie K Herbst1, Jonas Obleser2, Virginie van Wassenhove1

  • 1INSERM, CEA, CNRS, Université Paris-Saclay.

Journal of Cognitive Neuroscience
|May 17, 2022
PubMed
Summary
This summary is machine-generated.

The brain uses implicit timing to automatically enhance sensory responses, but this does not improve explicit duration judgments. Neural oscillations, specifically alpha and beta power, reflect these distinct timing processes.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychology

Background:

  • Time perception is crucial for cognition, with both implicit and explicit timing mechanisms proposed.
  • Previous research on shared versus distinct neural signatures for implicit and explicit timing has yielded equivocal results.

Purpose of the Study:

  • To directly compare neural mechanisms underlying implicit and explicit timing using magnetoencephalography (MEG).
  • To investigate how temporal predictability influences both implicit and explicit timing tasks.

Main Methods:

  • Used magnetoencephalography (MEG) to record brain activity during auditory tasks.
  • Manipulated foreperiod duration to induce implicit temporal predictability.
  • Assessed implicit timing via pitch discrimination and explicit timing via duration discrimination.

Main Results:

  • The brain automatically extracts temporal statistics, enhancing behavioral and neural responses to auditory stimuli.
  • Attentional orienting during predictive foreperiods showed increased alpha power in visual and parietal areas.
  • Increased beta power in sensorimotor and parietal areas was observed during implicit timing, suggesting a role in temporal prediction.
  • Implicit temporal predictions did not enhance explicit duration timing performance.

Conclusions:

  • Implicit timing automatically shapes sensory processing and behavior, reflected in neural oscillatory dynamics.
  • The translation of implicit temporal statistics to explicit duration judgments remains inconclusive, potentially due to task abstraction.