2020
DOI: 10.1152/jn.00622.2019
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Eye movements as a readout of sensorimotor decision processes

Abstract: Real-world tasks, such as avoiding obstacles, require a sequence of interdependent choices to reach accurate motor actions. Yet, most studies on primate decision making involve simple one-step choices. Here we analyze motor actions to investigate how sensorimotor decisions develop over time. In a go/no-go interception task human observers ( n = 42) judged whether a briefly presented moving target would pass (interceptive hand movement required) or miss (no hand movement required) a strike box while their eye a… Show more

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Cited by 44 publications
(34 citation statements)
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“…Eye movements differed between correct go responses and correct no-go responses, even before the hand started moving [27,35]. Higher initial pursuit velocity was associated with higher go/no-go decision accuracy, whereas high velocity gain during a later time-interval was associated with better timing accuracy [35]. These findings reveal a continuous interaction between eye movements and action decisions.…”
Section: Eye Movements Improve Reaching and Interception Performancementioning
confidence: 81%
See 1 more Smart Citation
“…Eye movements differed between correct go responses and correct no-go responses, even before the hand started moving [27,35]. Higher initial pursuit velocity was associated with higher go/no-go decision accuracy, whereas high velocity gain during a later time-interval was associated with better timing accuracy [35]. These findings reveal a continuous interaction between eye movements and action decisions.…”
Section: Eye Movements Improve Reaching and Interception Performancementioning
confidence: 81%
“…Observers needed to rapidly intercept the target with their finger (go) in pass-trials, and withhold a hand movement (no-go) in miss-trials. Eye movements differed between correct go responses and correct no-go responses, even before the hand started moving [27,35]. Higher initial pursuit velocity was associated with higher go/no-go decision accuracy, whereas high velocity gain during a later time-interval was associated with better timing accuracy [35].…”
Section: Eye Movements Improve Reaching and Interception Performancementioning
confidence: 97%
“…All trials were segmented from the moment of ball release until the time point corresponding to ball contact frame. Gaze values were passed through a three-frame median filter, before being smoothed by a second-order, zero-lag Butterworth filter 68 . In line with recent recommendations 43,69 , different cut-off frequencies were applied for saccade identification (50 Hz) and analysis of positional tracking features (15 Hz).…”
Section: Discussionmentioning
confidence: 99%
“…If this acceleration criteria failed to identify any anticipatory pre-bounce saccades, trials were manually inspected using a 30°/s velocity threshold 43 . Onset and offset times were determined from these signals using acceleration minima and maxima 68 . A spatial dispersion algorithm was then used to extract gaze fixations 70 .…”
Section: Discussionmentioning
confidence: 99%
“…For trials where this automated acceleration criteria did not identify any anticipatory pre-bounce saccades, trials were manually inspected using a 30°/s velocity threshold 55 . Saccade onset and offset times were determined from acceleration minima and maxima 56 .…”
Section: Gaze Data Analysismentioning
confidence: 99%