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Research Articles, Behavioral/Cognitive

Fast feedback responses to categorical sensorimotor errors that do not indicate error magnitude are optimized based on short and long term memory

Michael R. McGarity-Shipley, Simona Markovik Jantz, Roland S. Johansson, Daniel M. Wolpert and J. Randall Flanagan
Journal of Neuroscience 26 October 2023, JN-RM-1990-22; https://doi.org/10.1523/JNEUROSCI.1990-22.2023
Michael R. McGarity-Shipley
1Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario, K7L 3N6, Canada
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Simona Markovik Jantz
1Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario, K7L 3N6, Canada
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Roland S. Johansson
3Physiology Section, Department of Integrative Medical Biology, Umeå University, SE-901 87 Umeå, Sweden
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Daniel M. Wolpert
4Department of Neuroscience, Columbia University, New York, 10027, United States.
5Zuckerman Mind Brain Behavior Institute, Columbia University, New York, 10027, United States.
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J. Randall Flanagan
1Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario, K7L 3N6, Canada
2Department of Psychology, Queen’s University, Kingston, Ontario, K7L 3N6, Canada
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Abstract

Skilled motor performance depends critically on rapid corrective responses that act to preserve the goal of the movement in the face of perturbations. Although it is well established that the gain of corrective responses elicited while reaching towards objects adapts to different contexts, little is known about the adaptability of corrective responses supporting the manipulation of objects after they are grasped. Here we investigated the adaptability of the corrective response elicited when an object being lifted is heavier than expected and fails to lift off when predicted. This response involves a monotonic increase in vertical load force triggered, within ∼90 ms, by the absence of expected sensory feedback signaling lift-off, and terminated when actual lift-off occurs. Critically, because the actual weight of the object cannot be directly sensed at the moment the object fails to lift-off, any adaptation of the corrective response would have to be based on memory from previous lifts. We show that when humans, including men and women, repeatedly lift an object that, on occasional catch trials, increases from a baseline weight to a fixed heavier weight, they scale the gain of the response (i.e., the rate of force increase) to the heavier weight within 2-3 catch trials. We also show that the gain of the response scales, on the first catch trial, with the baseline weight of the object. Thus, the gain of the lifting response can be adapted by both short and long term experience. Finally, we demonstrate that this adaptation preserves the efficacy of the response across contexts.

Significance Statement

Here we present the first investigation of the adaptability of the corrective lifting response elicited when an object is heavier than expected and fails to lift off when predicted. A striking feature of the response, which is driven by a sensory prediction error arising from the absence of expected sensory feedback, is that the magnitude of the error is unknown. That is, the motor system only receives a categorical error indicating that the object is heavier than expected but not its actual weight. Although the error magnitude is not known at the moment the response is elicited, we show that the response can be scaled to predictions of error magnitude based on both recent and long-term memories.

Footnotes

  • The authors declare no competing financial interests.

  • This work was supported by grants from the Natural Sciences and Engineering Council of Canada (RGPIN/05944-2019) to J.R.F., the Swedish Research Council (Project 22209) to R.S.J., and the National Institutes of Health (R01NS117699 and U19NS104649) to D.M.W. We would like to thank Sean Hickman, Martin York, and Lee Baugh for technical support and Justin Caldwell for help recruiting participants.

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Fast feedback responses to categorical sensorimotor errors that do not indicate error magnitude are optimized based on short and long term memory
Michael R. McGarity-Shipley, Simona Markovik Jantz, Roland S. Johansson, Daniel M. Wolpert, J. Randall Flanagan
Journal of Neuroscience 26 October 2023, JN-RM-1990-22; DOI: 10.1523/JNEUROSCI.1990-22.2023

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Fast feedback responses to categorical sensorimotor errors that do not indicate error magnitude are optimized based on short and long term memory
Michael R. McGarity-Shipley, Simona Markovik Jantz, Roland S. Johansson, Daniel M. Wolpert, J. Randall Flanagan
Journal of Neuroscience 26 October 2023, JN-RM-1990-22; DOI: 10.1523/JNEUROSCI.1990-22.2023
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