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Related Experiment Videos

Sequence learning at optimal stimulus-response mapping: evidence from a serial reaction time task.

Annette Kinder1, Martin Rolfs, Reinhold Kliegl

  • 1Department of Psychology, University of Potsdam, Potsdam, Germany. kinder@rz.uni-potsdam.de

Quarterly Journal of Experimental Psychology (2006)
|September 22, 2007
PubMed
Summary
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This study shows that learning in the serial reaction time (SRT) task does not require building new stimulus-response (S-R) bonds. Participants learned sequences even when S-R compatibility was already high.

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human Motor Control

Background:

  • The serial reaction time (SRT) task is widely used to study implicit learning.
  • Traditional SRT tasks involve manual responses to visual stimuli.
  • The role of stimulus-response (S-R) bond formation in SRT learning is debated.

Purpose of the Study:

  • To investigate whether learning in the SRT task depends on the formation of new S-R bonds.
  • To examine sequence learning using a modified SRT task with oculomotor responses.
  • To assess the impact of pre-existing S-R compatibility on sequence learning.

Main Methods:

  • A modified SRT task was developed where participants only looked at targets (oculomotor response).
  • Stimulus-response compatibility was maximized by aligning target and response locations.

Related Experiment Videos

  • Participants trained on a specific sequence, followed by a new sequence to assess learning and unlearning.

    • Main Results:

    • Saccadic response times significantly decreased during training on the predictable sequence.
    • Response times increased when a novel, unpredictable sequence was introduced, indicating successful learning and unlearning.
    • Performance improvements occurred despite high, pre-established stimulus-response compatibility.

    Conclusions:

    • Learning in the SRT task can occur without the necessity of forming new S-R bonds.
    • Pre-existing S-R associations do not preclude sequence learning.
    • This challenges traditional views on the mechanisms underlying implicit sequence learning.