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Eye-hand coordination during flexible manual interception of an abruptly appearing, moving target

  • Yuhui Li
    ,
  • Yong Wang
    ,
  • He Cui(corresponding author)
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

As a vital skill in an evolving world, interception of moving objects relies on accurate prediction of target motion. In natural circumstances, active gaze shifts often accompany hand movements when exploring targets of interest, but how eye and hand movements are coordinated during manual interception and their dependence on visual prediction remain unclear. Here, we trained gaze-unrestrained monkeys to manually intercept targets appearing at random locations and circularly moving with random speeds. We found that well-trained animals were able to intercept the targets with adequate compensation for both sensory transmission and motor delays. Before interception, the animals’ gaze followed the targets with adequate compensation for the sensory delay, but not for extra target displacement during the eye movements. Both hand and eye movements were modulated by target kinematics, and their reaction times were correlated. Moreover, retinal errors and reaching errors were correlated across different stages of reach execution. Our results reveal eye-hand coordination during manual interception, yet the eye and hand movements may show different levels of prediction based on the task context. NEW & NOTEWORTHY Here we studied the eye-hand coordination of monkeys during flexible manual interception of a moving target. Eye movements were untrained and not explicitly associated with reward. We found that the initial saccades toward the moving target adequately compensated for sensory transmission delays, but not for extra target displacement, whereas the reaching arm movements fully compensated for sensorimotor delays, suggesting that the mode of eye-hand coordination strongly depends on behavioral context.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 221-234 (14 pages)

Journal (Volume, Issue Number)

Journal of Neurophysiology (Volume 119, Issue 1)

Publication milestones

  • Published - 01/2018

Publication status

Published - 01/2018

ISSN

0022-3077

Publication IDs

  • Scopus: 85043485362

Publication metrics

Metrics

Scopus
citations
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1
SciVal
citations
9
SciVal
FWCI
0.86
SciVal
Author count
3
SciVal
Paper percentile
79

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Captures
57
Citation count
21

Funding Details

This work was supported by Whitehall Foundation, Alfred P. Sloan Research Fellowship, SJTU-ION Program of Translational Neuroscience, and National Science Foundation of China to H. Cui.