Evidence for model-based action planning in a sequential finger movement task

Alan Fermin, Takehiko Yoshida, Makoto Ito, Junichiro Yoshimoto, Kenji Doya

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)


In this article, the authors examine whether and how humans use model-free, reflexive strategies and model-based, deliberative strategies in motor sequence learning. They asked subjects to perform the grid-sailing task, which required moving a cursor to different goal positions in a 5 5 grid using different key-mapping (KM) rules between 3 finger keys and 3 cursor movement directions. The task was performed under 3 conditions: Condition 1, new KM; Condition 2, new goal position with learned KM; and Condition 3, learned goal position with learned KM; with or without prestart delay time. The performance improvement with prestart delay was significantly larger under Condition 2. This result provides evidence that humans implement a model-based strategy for sequential action selection and learning by using previously learned internal model of state transition by actions.

Original languageEnglish
Pages (from-to)371-379
Number of pages9
JournalJournal of Motor Behavior
Issue number6
Publication statusPublished - 11-2010
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Orthopedics and Sports Medicine
  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience


Dive into the research topics of 'Evidence for model-based action planning in a sequential finger movement task'. Together they form a unique fingerprint.

Cite this