2007
DOI: 10.1007/s00221-007-0988-y
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Velocity scaling of cue-induced smooth pursuit acceleration obeys constraints of natural motion

Abstract: Information about the future trajectory of a visual target is contained not only in the history of target motion but also in static visual cues, e.g., the street provides information about the car's future trajectory. For most natural moving targets, this information imposes strong constraints on the relation between velocity and acceleration which can be exploited by predictive smooth pursuit mechanisms. We questioned how cue-induced predictive changes in pursuit direction depend on target speed and how cue- … Show more

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Cited by 36 publications
(33 citation statements)
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“…The control group, in contrast, showed a velocity dependence eliciting a higher slow-phase velocity at the higher target velocity. This was also described previously [10,15]. Several other studies on PD patients have also observed a reduced peak velocity as seen in our parkinsonian patients [16][17][18].…”
Section: Discussionsupporting
confidence: 80%
See 1 more Smart Citation
“…The control group, in contrast, showed a velocity dependence eliciting a higher slow-phase velocity at the higher target velocity. This was also described previously [10,15]. Several other studies on PD patients have also observed a reduced peak velocity as seen in our parkinsonian patients [16][17][18].…”
Section: Discussionsupporting
confidence: 80%
“…The exact method of how the slow-phase velocity (SPV) of the horizontal smooth pursuit was computed has been described previously in detail [10]. Trials with more than one saccade during the curve were excluded from analysis.…”
Section: ■ Data Analysismentioning
confidence: 99%
“…Saccades were detected and removed with a slow-phase estimation algorithm as described previously (Ladda et al 2007). Briefly, an estimate of the slow-phase component (SPC) was initialized to zero and iteratively improved in each step.…”
Section: Discussionmentioning
confidence: 99%
“…Eye movements were submitted to an iterative algorithm using velocity and acceleration criteria [14] to identify fast phases (saccades) and slow phases (fixations, vestibulo-ocular reflex movements). Fast phase entry and exit points were defined to occur at 10% of the maximal velocity of the corresponding saccade.…”
Section: Methodsmentioning
confidence: 99%