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York University

Initial Implicit Changes in Adaptation as a Function of Different Perturbations

Abstract

dc:description.abstract

Implicit motor adaptation allows us to maintain accurate movements under changing conditions. This process, driven by sensory prediction errors (SPE), mismatches between predicted and observed sensory-motor outcomes, corrects motor commands unconsciously. This study examined the extent to which initial implicit adaptation is sensitive to error magnitude and whether it reflects the behaviour observed in prolonged exposure contexts. We employed a single-trial learning (STL) paradigm within a classical visuomotor adaptation task. Participants reached to dot and arc targets while experiencing single rotated-cursor trials (1°-90°), isolating trial-by-trial changes in motor outputs, along with a long-exposure block involving a 20° rotation to test STL predictability in prolonged contexts. Results suggest initial implicit adaptation follows a saturating response pattern with increasing error magnitude while model-derived predictions tracked reasonably with long-exposure performance. Our findings reveal key features of early implicit adaptation and highlight STL as a promising tool for examining implicit adaptation in varying contexts.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nabaee-Tabriz, Zacchary
Advisor dc:contributor.advisor
  • Henriques, Denise Y. P.

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10315/43360
OAI identifier oai:identifier
oai:yorkspace.library.yorku.ca:10315/43360

Chain of custody

source
Harvested from
York University
Base URL
yorkspace.library.yorku.ca/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Nabaee-Tabriz, Zacchary. Initial Implicit Changes in Adaptation as a Function of Different Perturbations. 2025. https://hdl.handle.net/10315/43360