Interlimb coupling strength scales with movement amplitude

Peper, C. E.; Boer, Betteco J. de; Poel, Harjo J. de; Beek, Peter J.

doi:10.1016/j.neulet.2008.03.066

Cited by 37 publications

(45 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In line with results observed in bimanual coordination (Peper, de Boer, de Poel, & Beek, 2008), larger stimulus amplitudes strengthen the coupling underlying unintended visuomotor coordination resulting in stronger spontaneous in-phase and antiphase entrainment (Varlet et al, 2012a). This effect of stimulus amplitude, however, has not been found when the visuomotor coordination was intentional (de Rugy et al, 2008;Peper & Beek, 1998).…”

Section: Visuomotor Coordination and Stimulus Kinematicssupporting

confidence: 86%

Influence of stimulus velocity profile on rhythmic visuomotor coordination.

Varlet¹,

Coey²,

Schmidt³

et al. 2014

Journal of Experimental Psychology: Human Perception and Perfor

View full text Add to dashboard Cite

Every day, we visually coordinate our movements with environmental rhythms. Despite its ubiquity, it largely remains unclear why certain visual rhythms or stimuli facilitate such visuomotor coordination. The goal of the current study was to investigate whether the velocity profile of a rhythmic stimulus modulated the emergence and stability of this coordination. We examined both intended (Experiment 1) and unintended or spontaneous coordination (Experiment 2) between the rhythmic limb movements of participants and stimuli exhibiting different velocity profiles. Specifically, the stimuli oscillated with either a sinusoidal (harmonic), nonlinear Rayleigh, or nonlinear Van der Pol velocity profile, all of which are typical of human or biological rhythmic movement. The results demonstrated that the dynamics of both intended and unintended visuomotor coordination were modulated by the stimulus velocity profile, and that the Rayleigh velocity profile facilitated the coordination, suggesting a crucial role of the slowness to the endpoints or turning points of the stimulus trajectory for stable coordination. More generally, these findings open promising research directions to better understand and improve coordination with artificial agents and people with social deficits.

show abstract

Section: Visuomotor Coordination and Stimulus Kinematicssupporting

confidence: 86%

Influence of stimulus velocity profile on rhythmic visuomotor coordination.

Varlet¹,

Coey²,

Schmidt³

et al. 2014

Journal of Experimental Psychology: Human Perception and Perfor

View full text Add to dashboard Cite

show abstract

“…Research on bimanual coordination has shown that an amplitude difference between the limbs can result in phase leads by the limb producing the smaller amplitude. The difference in amplitude required to produce a 10°-15°phase lead must be 2:1 (Buchanan & Ryu, 2006;de Poel, Peper & Beek 2009;Peper, de Boer, de Poel, & Beek, 2008), and to produce a 30°-40°phase offset requires an amplitude difference of 5:1 between the limbs (Buchanan & Ryu, 2006). In the instruction models, the right arm produced amplitudes approximately 1.1 cm (8% of the required 10 cm) smaller than the left arm during acquisition, a difference not large enough to account for the magnitude of the phase offset found between groups.…”

Section: Discussionmentioning

confidence: 99%

Specificity in practice benefits learning in novice models and variability in demonstration benefits observational practice

Buchanan

Dean

2009

Psychological Research

View full text Add to dashboard Cite

Considerable research has shown that both demonstration and verbal instruction can facilitate learning of a motor task in inexperienced individuals. In the current study, verbal instructions were used as a means to reduce the discovery learning process and control the amount of trial-to-trial variability in demonstrations. The task required models to learn to trace a pair of circles with a 90 degrees -relative phase pattern between the arms. Verbal instructions directed one group of models toward a single strategy, and this group improved at a faster rate and performed better in a 24-h retention test compared to a group of models in a discovery learning context. The discovery models utilized multiple strategies throughout the practice. Each model was watched for 2 days by an observer, who was instructed that they would have to produce the 90 degrees -relative phase pattern on day 3. Observers, who watched the discovery models, performed better than those who watched the single strategy models. The results support two primary conclusions. First, trial-to-trial variability associated with strategy selection processes in a model benefits an observer by facilitating perceptual discrimination processes that may play a key role in action generation. Second, verbal instructions that reduce discovery learning during physical practice benefit acquisition and retention performance when the task has multiple strategies wherein no one strategy guarantees the best performance outcome.

show abstract

“…The tendency for participants to transition from asymmetric coordination patterns to in-phase movements of the fingers or limbs has been thought to be due, at least in part, to biases originating in the action component of the perception-action system (e.g., Kagerer et al, 2002Kagerer et al, , 2003Peper et al, 2008). For example, the concept of neural crosstalk has been used to explain the findings of stability differences and phase transitions in various bimanual coordination patterns based on interactions in the forward command streams in the highly interconnected and redundant organization of the nervous system (for review, see Swinnen, 2002).…”

Section: Action Constraintsmentioning

confidence: 99%

“…That is, relative phase patterns other than 0 o and 180 o are not inherently stable and the motor system shows a bias towards what has been labeled the intrinsic dynamics of in-phase and anti-phase coordination (Schöner & Kelso, 1988). A number of researchers have suggested that the tendency toward in-phase and anti-phase movements of the limbs originates in action constraints of the perception-action system (e.g., Kagerer, Summers, & Semjen, 2003;Kennerly, Diedrichsen, Hazeltine, Semjen, & Ivry, 2002;Peper, de Boer, de Poel, & Beek, 2008), while other researchers suggest that perceptual constraints can play a large role in determining the stability of the bimanual coordination pattern (e.g., Bingham, 2004a,b;Mechsner et al, 2001;Mechsner & Knoblich 2004). Alternately, a number of studies have favored the hypothesis that a coalition of constraints, ranging from high-level perceptual to lower-level motor, modulates the stability of coordinated behavior (e.g., Amazeen, DaSilva, & Amazeen, 2008;Carson & Kelso, 2004;Meesen, Wenderoth, Temprado, Summers, & Swinnen, 2006;Salesse, Temprado, & Swinnen, 2005;Temprado et al, 2003;Shea, Kovacs, & Buchanan, 2009;Swinnen, 2002;Swinnen & Wenderoth, 2004).…”

Section: Introductionmentioning

confidence: 99%

Perception and action influences on discrete and reciprocal bimanual coordination

2015

View full text Add to dashboard Cite

For nearly four decades bimanual coordination, Ba prototype of complex motor skills^and apparent Bwindow into the design of the brain,^has been intensively studied. Past research has focused on describing and modeling the constraints that allow the production of some coordination patterns while limiting effective performance of other bimanual coordination patterns. More recently researchers have identified a coalition of perception-action constraints that hinder the effective production of bimanual skills. The result has been that given specially designed contexts where one or more of these constraints are minimized, bimanual skills once thought difficult, if not impossible, to effectively produce without very extensive practice can be executed effectively with little or no practice. The challenge is to understand how these contextual constraints interact to allow or inhibit the production of complex bimanual coordination skills. In addition, the factors affecting the stability of bimanual coordination tasks needs to be re-conceptualized in terms of perception-related constraints arising from the environmental context in which performance is conducted and action constraints resident in the neuromotor system.

show abstract

Interlimb coupling strength scales with movement amplitude

Cited by 37 publications

References 33 publications

Influence of stimulus velocity profile on rhythmic visuomotor coordination.

Influence of stimulus velocity profile on rhythmic visuomotor coordination.

Specificity in practice benefits learning in novice models and variability in demonstration benefits observational practice

Perception and action influences on discrete and reciprocal bimanual coordination

Contact Info

Product

Resources

About