The Effect of Attention on Human Motor Learning

Understanding how attention modulates implicit sensorimotor adaptation and the relationship between explicit action selection and implicit motor execution.

Implicit motor learning diagram placeholder

TL;DR

We investigated whether directing attention influences the implicit component of motor learning in trial‑by‑trial visuomotor adaptation tasks. Results support a dissociation between explicit action selection and implicit motor execution, with attention altering learning outcomes in systematic ways. Outputs include a Society for Neuroscience poster and a manuscript in review.

Project Overview

Lead RA
Role (with PhD collaborator & PI R. Ivry)
~1.5 yrs
Dec 2021 – May 2023
Journal of Neuroscience

Research Background

Conscious decisions guide what we do (explicit action selection), while many movements execute without conscious deliberation (implicit motor execution). Prior work separates these systems; we ask: how does attention shape the implicit learning component during adaptation?

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Objectives

1) Test whether attention influences implicit motor learning; 2) Identify which type of attention is involved.

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Methods

Trial‑by‑trial design; behavioral data cleaning & processing; web‑based tasks (JavaScript/HTML); inferential stats in Python/R.

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My Contributions

Led day‑to‑day RA work, coordinated analysis, supported study operations and figure production for dissemination.

Study Design & Execution

Motor Learning Experiment Design
Trial‑by‑Trial Visuomotor Adaptation

Participants performed reaching tasks with perturbed feedback while attention was manipulated across conditions. Implicit learning was estimated from after‑effects and error‑based updates.

Attention × Learning Interaction

Analyses assessed how attentional focus modulated learning rates and retention, testing dissociations between explicit re‑aiming and implicit recalibration.

Findings & Outcomes

Wang, Tianhe, Jialin Li, and Richard B. Ivry. "Attention defines the context for implicit sensorimotor adaptation." Journal of Neuroscience 45.40 (2025)



Conceptual Contribution

Supports a model where attention selectively shapes implicit adaptation while remaining distinct from explicit strategies.

Motor Learning Conference Poster

Reflections

Methodological

  • Online visuomotor paradigms can robustly capture implicit adaptation with careful latency controls and quality checks.
  • Separating explicit and implicit components enables targeted hypotheses about attention.

Collaboration

  • Cross‑functional cadence with PhD lead and PI accelerated figure iteration and interpretation for venue‑ready artifacts.