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The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
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Published on: May 3, 2018

Implementing flexibility in automaticity: evidence from context-specific implicit sequence learning.

Maria C D'Angelo1, Bruce Milliken, Luis Jiménez

  • 1Department of Psychology, Neuroscience & Behaviour, McMaster University, 1280 Main St. W., Hamilton, Ontario, Canada L8S 4K1. dangelmc@mcmaster.ca

Consciousness and Cognition
|December 25, 2012
PubMed
Summary
This summary is machine-generated.

Implicit learning can be flexible by relying on context. Participants learned sequences tied to specific contexts, showing flexible, context-dependent implicit sequence knowledge.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Implicit Learning

Background:

  • Attention is traditionally viewed as either controlled (slow, flexible) or automatic (fast, inflexible).
  • Emerging evidence suggests context-specific processes can be rapid yet flexible.
  • This challenges the strict dichotomy between controlled and automatic processing.

Purpose of the Study:

  • To investigate if flexibility in automatic processes can be achieved through contextual features.
  • To extend the understanding of context-specific processing to implicit learning.
  • To examine the role of context in the acquisition and expression of implicit sequence knowledge.

Main Methods:

  • Three experiments were conducted to test implicit sequence learning.
  • Participants implicitly learned two complementary sequences associated with distinct contexts.
  • Learning transfer was assessed when contexts were randomly intermixed.

Main Results:

  • Participants successfully learned implicit sequences tied to specific contexts.
  • The distinctiveness of the contexts influenced the transfer of learning.
  • Results indicate context-specific processes are crucial for implicit sequence knowledge.

Conclusions:

  • Implicit sequence knowledge acquisition and expression are influenced by context-specific processes.
  • Flexibility in automatic processes may be implemented via reliance on contextual cues.
  • Episodic details can be integrated into sequence knowledge representations.