Corrective Movements in a Pursuit Task

Vince, Margaret A.

doi:10.1080/17470214808416749

Cited by 133 publications

(66 citation statements)

References 3 publications

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“…The human perceptuo-motor system has been shown to adapt to information-based perturbations in a variety of tasks, including repetitive (Woodworth 1899;Vince 1948) and discrete aiming tasks (Keele and Posner 1968;Carlton 1981;Moore 1984;Elliott 1988;, grasping (Wing et al 1986;Winges et al 2003;Fukui and Inui 2006), catching (Whiting et al 1970(Whiting et al , 1973Whiting and Sharp 1974;Whiting 1974, 1975;Lamb and Burwitz 1988;Lacquaniti and Maioli 1989;Mazyn et al 2007b;Dessing et al 2009) and hitting (Marinovic et al 2009;van Soest et al 2010). Imposing such perturbations in experimental settings influences factors such as movement preparation, as well as underlying control processes that are responsible for adaptations in kinematics as the movement unfolds (Elliott and Lee 1995;van der Kamp et al 1997;Schenk et al 2004).…”

Section: Introductionmentioning

confidence: 99%

To know or not to know: influence of explicit advance knowledge of occlusion on interceptive actions

et al. 2011

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This study examined how explicit advance knowledge might influence adaptive behavior to visual occlusions. Catching performance and kinematics of good ball catchers were compared between no, early and late occlusion trials. Discrete visual occlusions of 400 ms, occurring early or late in the ball's approach trajectory, were randomly interspersed between no occlusion trials. In one condition, the presence and type of occlusion were announced a priori (expected), whereas in another condition no such information was provided (unexpected). Expectation of occlusion resulted in an adapted limb transport and increased grasping time, whereas in the unexpected condition a higher peak of wrist velocity was evident for all occlusion conditions. The observed different adaptations cannot be explained by trial-by-trial adaptations alone and instead provide evidence for the influence of explicit advance knowledge in the motor response of interceptive actions.

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Section: Introductionmentioning

confidence: 99%

To know or not to know: influence of explicit advance knowledge of occlusion on interceptive actions

et al. 2011

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“…However, reaching in the light relies not only on efferent motor and reafferent proprioceptive signals but also on visual information about the target to be reached, the moving forelimb, and the surroundings (Carlton, 1981;Prablanc et al, 1986). In the absence of visual feedback, movement performance quickly deteriorates (Woodworth, 1899;Vince, 1948;Keele and Posner, 1968;Carlton, 1981;Meyer et al, 1988;MaWyatt and McKee, 2007).…”

Section: Introductionmentioning

confidence: 99%

Reaching Activity in the Medial Posterior Parietal Cortex of Monkeys Is Modulated by Visual Feedback

Bosco

Breveglieri²,

Chinellato³

et al. 2010

J. Neurosci.

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Reaching and grasping an object is an action that can be performed in light, as well as in darkness. Area V6A is a visuomotor area of the medial posterior parietal cortex involved in the control of reaching movements. It contains reaching neurons as well as neurons modulated by passive somatosensory and visual stimulations. In the present work we analyze the effect of visual feedback on reaching activity of V6A neurons. Three macaques were trained to execute reaching movements in two conditions: in darkness, where only the reaching target was visible, and in full light, where the monkey also saw its own moving arm and the environment. Approximately 85% of V6A neurons (127/149) were significantly related to the task in at least one of the two conditions. The majority of task-related cells (69%) showed reach-related activity in both visual conditions, some were modulated only in light (15%), while others only in dark (16%). The sight of the moving arm often changed dramatically the cell's response to arm movements. In some cases the reaching activity was enhanced and in others it was reduced or disappeared altogether. These neuronal properties may represent differences in the degree to which cells are influenced by feedback control versus feedforward movement planning. On average, reach-related modulations were stronger in light than in dark, a phenomenon similar to that observed in brain imaging experiments in the human medial posterior parietal cortex, a region likely homologous to macaque area V6A.

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“…Manifested in the multi-peaked velocity profiles, submovements have been described for pursuit tracking (Hick 1948;Miall et al 1986Miall et al , 1988Noble et al 1955;Searle and Taylor 1948;Taylor and Birmingham 1948;Vince 1948), reaching (Meyer et al 1982), interception of moving targets (Lee et al 1997), pointing (Fitts 1954), rapid hand movements (Novak et al 2000(Novak et al , 2002, and drawing (Massey et al 1992). Submovements characterize both human and nonhuman primate limb movements (Miall et al 1986).…”

Section: Introductionmentioning

confidence: 99%

“…Most studies have emphasized submovements' role in feedback error corrections (Noble et al 1955;Vince 1948), feedforward control (Miall et al 1986), or both (Novak et al 2000(Novak et al , 2002. There is also the possibility that the submovements are themselves movement errors, i.e., the uncorrected consequences of musculoskeletal dynamics.…”

Section: Introductionmentioning

confidence: 99%

Kinematic Analysis of Manual Tracking in Monkeys: Characterization of Movement Intermittencies During a Circular Tracking Task

Roitman¹,

Massaquoi²,

Takahashi³

et al. 2004

Journal of Neurophysiology

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Roitman, A. V., S. G. Massaquoi, K. Takahashi, and T. J. Ebner. Kinematic analysis of manual tracking in monkeys: characterization of movement intermittencies during a circular tracking task. J Neurophysiol 91: 901-911, 2004. First published October 15, 2003 10.1152/jn.00261.2003. Segmentation of the velocity profiles into the submovements has been observed in reaching and tracking limb movements and even in isometric tasks. Submovements have been implicated in both feed-forward and feedback control. In this study, submovements were analyzed during manual tracking in the nonhuman primate with the focus on the amplitude-duration scaling of submovements and the error signals involved in their control. The task consisted of the interception and visually guided pursuit of a target moving in a circle. The submovements were quantified based on their duration and amplitude in the speed profile. Control experiments using passive movements demonstrated that these intermittencies were not instrumentation artifacts. Submovements were prominent in both the interception and tracking phases and their amplitude scaled linearly with duration. The scaling factors increased with tracking speed at the same rate for both interception and pursuit. A cross-correlation analysis between a variety of error signals and the speed profile revealed that direction and speed errors were temporally coupled to the submovements. The cross-correlation profiles suggest that submovements are initiated when speed error reaches a certain limit and when direction error is minimized. The scaling results show that in monkeys submovements characterize both the interception and pursuit portions of the task and that these submovements have similar scaling properties consistent with 1) the concept of stereotypy and 2) adding constant acceleration/force at a specific tracking speed. The correlation results show involvement of speed and direction error signals in controlling the submovements.

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Corrective Movements in a Pursuit Task

Cited by 133 publications

References 3 publications

To know or not to know: influence of explicit advance knowledge of occlusion on interceptive actions

To know or not to know: influence of explicit advance knowledge of occlusion on interceptive actions

Reaching Activity in the Medial Posterior Parietal Cortex of Monkeys Is Modulated by Visual Feedback

Kinematic Analysis of Manual Tracking in Monkeys: Characterization of Movement Intermittencies During a Circular Tracking Task

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