Abstract

We examined how implicit and explicit memories contribute to sensorimotor adaptation of movement extent during goal-directed reaching. Twenty subjects grasped the handle of a horizontal planar robot that rendered spring-like resistance to movement. Subjects made rapid “out-and-back” reaches to capture a remembered visual target at the point of maximal reach extent. The robot’s resistance changed unpredictably between reaches, inducing target capture errors that subjects attempted to correct from one trial to the next. Each subject performed over 400 goal-directed reaching trials. Some trials were performed without concurrent visual cursor feedback of hand motion. Some trials required self-assessment of performance between trials, whereby subjects reported peak reach extent on the most recent trial. This was done by either moving a cursor on a horizontal display (visual self-assessment), or by moving the robot’s handle back to the recalled location (proprioceptive self-assessment). Control condition trials performed either without or with concurrent visual cursor feedback of hand motion did not require self-assessments. We used step-wise linear regression analyses to quantify the extent to which prior reach errors and explicit memories of reach extent contribute to subsequent reach performance. Consistent with prior reports, providing concurrent visual feedback of hand motion increased reach accuracy and reduced the impact of past performance errors on future performance, relative to the corresponding no-vision control condition. By contrast, we found no impact of interposed self-assessment on subsequent reach performance or on how prior target capture errors influence subsequent reach performance. Self-assessments were biased toward the remembered target location and they spanned a compressed range of values relative to actual reach extents, demonstrating that declarative memories of reach performance systematically differed from actual performances. We found that multilinear regression could best account for observed data variability when the regression model included only implicit memories of prior reach performance; including explicit memories (self-assessments) in the model did not improve its predictive accuracy. We conclude therefore that explicit memories of prior reach performance do not contribute to implicit sensorimotor adaptation of movement extent during goal-directed reaching under conditions of environmental uncertainty.

Highlights

  • The human sensorimotor system is adept at performing goal-directed actions in the presence of changing environmental conditions due to the brain’s remarkable ability to compensate for performance errors that arise during movement (Shadmehr and Mussa-Ivaldi 1994; Lackner and Dizio 1994; Shadmehr and Brashers-Krug 1997)

  • Even in the simplest actions such as reaching, corrections for performance errors are comprised of separate components attributable to implicit sensorimotor adaptation (Shadmehr and Mussa-Ivaldi 1994; Thoroughman and Shadmehr 2000; Scheidt et al 2001; Izawa et al 2008; Judkins and Scheidt 2014; Smith et al 2006; McDougle et al 2015) and explicit strategic re-aiming (Mazzoni and Krakauer 2006; Taylor and Ivry 2011; Taylor et al 2014)

  • As a basis for comparison, we considered a model of sensorimotor adaptation examined in several prior studies of horizontal planar reaching (Scheidt et al 2001; Judkins and Scheidt 2014): i = a1 i−1 + b0ki + b1ki−1 (1)

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Summary

Introduction

The human sensorimotor system is adept at performing goal-directed actions in the presence of changing environmental conditions due to the brain’s remarkable ability to compensate for performance errors that arise during movement (Shadmehr and Mussa-Ivaldi 1994; Lackner and Dizio 1994; Shadmehr and Brashers-Krug 1997). Even in the simplest actions such as reaching, corrections for performance errors are comprised of separate components attributable to implicit sensorimotor adaptation (Shadmehr and Mussa-Ivaldi 1994; Thoroughman and Shadmehr 2000; Scheidt et al 2001; Izawa et al 2008; Judkins and Scheidt 2014; Smith et al 2006; McDougle et al 2015) and explicit strategic re-aiming (Mazzoni and Krakauer 2006; Taylor and Ivry 2011; Taylor et al 2014) (see Redding and Wallace 1996) Both implicit and explicit mechanisms utilize memories of prior performance features to improve subsequent performance. Preliminary aspects of this work have appeared in abstract form (Slick et al 2017)

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