Development of information–movement couplings in a rhythmical ball-bouncing task: from space- to time-related information

Bazile, Christophe; Siegler, Isabelle

doi:10.1007/s00221-015-4443-1

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…Tasks such as walking, running, dancing, or playing a musical instrument require continuous interactions with environments and task constraints that vary dynamically. Paddle juggling is a simple yet powerful paradigm for understanding how the human brain controls spatial and timing variables to rhythmically act in dynamic environments that may feature intermittent feedback (Ankarali et al 2014;Bazile et al 2016;de Rugy et al 2003;Dijkstra et al 2004;Huber and Sternad 2015;Morice et al 2007;Ronsse et al 2010;Schaal et al 1996;Siegler et al 2010Siegler et al , 2013Sternad et al 2001;Wei et al 2007).…”

Section: Discussionmentioning

confidence: 99%

Coupled nutrient removal from the wastewater and CO<SUB align="right">2 biofixation from the flue gas of iron and steel manufacturing

Çaylı

Demirer

2018

IJGW

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Volitional rhythmic motor behaviors such as limb cycling and locomotion exhibit spatial and timing regularity. Such rhythmic movements are executed in the presence of exogenous visual and nonvisual cues, and previous studies have shown the pivotal role that vision plays in guiding spatial and temporal regulation. However, the influence of nonvisual information conveyed through auditory or touch sensory pathways, and its effect on control, remains poorly understood. To characterize the function of nonvisual feedback in rhythmic arm control, we designed a paddle juggling task in which volunteers bounced a ball off a rigid elastic surface to a target height in virtual reality by moving a physical handle with the right hand. Feedback was delivered at two key phases of movement: visual feedback at ball peaks only and simultaneous audio and haptic feedback at ball-paddle collisions. In contrast to previous work, we limited visual feedback to the minimum required for jugglers to assess spatial accuracy, and we independently perturbed the spatial dimensions and the timing of feedback. By separately perturbing this information, we evoked dissociable effects on spatial accuracy and timing, confirming that juggling, and potentially other rhythmic tasks, involves two complementary processes with distinct dynamics: spatial error correction and feedback timing synchronization. Moreover, we show evidence that audio and haptic feedback provide sufficient information for the brain to control the timing synchronization process by acting as a metronome-like cue that triggers hand movement. NEW & NOTEWORTHY Vision contains rich information for control of rhythmic arm movements; less is known, however, about the role of nonvisual feedback (touch and sound). Using a virtual ball bouncing task allowing independent real-time manipulation of spatial location and timing of cues, we show their dissociable roles in regulating motor behavior. We confirm that visual feedback is used to correct spatial error and provide new evidence that nonvisual event cues act to reset the timing of arm movements.

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Section: Discussionmentioning

confidence: 99%

Coupled nutrient removal from the wastewater and CO<SUB align="right">2 biofixation from the flue gas of iron and steel manufacturing

Çaylı

Demirer

2018

IJGW

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“…To contribute to the debate opposing these theories, the present paper considers the one-dimensional (vertical) ballbouncing task. It is a well-known model system in neuroscience (Ankarali et al 2014;Bazile et al 2013Bazile et al , 2016Marchal-Crespo et al 2015;Morice et al 2007;Schaal et al 1996;Siegler et al 2010Siegler et al , 2013Sternad et al 2001;Wei et al 2007Wei et al , 2008, robotics (Buehler et al 1994;Kulchenko and Todorov 2011;Williamson 1999), and nonlinear dynamics (Vincent and Mees 2000) to investigate control and stability of tasks involving an agent coupled with an environment through contacts and information exchanges. The agent oscillates the paddle to hit the ball in such a way that the ball ideally reaches a predefined target height at each cycle (see Fig.…”

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confidence: 99%

Model of rhythmic ball bouncing using a visually controlled neural oscillator

Avrin

Siegler

Makarov

et al. 2017

Journal of Neurophysiology

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The present paper investigates the sensory-driven modulations of central pattern generator dynamics that can be expected to reproduce human behavior during rhythmic hybrid tasks. We propose a theoretical model of human sensorimotor behavior able to account for the observed data from the ball-bouncing task. The novel control architecture is composed of a Matsuoka neural oscillator coupled with the environment through visual sensory feedback. The architecture's ability to reproduce human-like performance during the ball-bouncing task in the presence of perturbations is quantified by comparison of simulated and recorded trials. The results suggest that human visual control of the task is achieved online. The adaptive behavior is made possible by a parametric and state control of the limit cycle emerging from the interaction of the rhythmic pattern generator, the musculoskeletal system, and the environment. The study demonstrates that a behavioral model based on a neural oscillator controlled by visual information is able to accurately reproduce human modulations in a motor action with respect to sensory information during the rhythmic ball-bouncing task. The model attractor dynamics emerging from the interaction between the neuromusculoskeletal system and the environment met task requirements, environmental constraints, and human behavioral choices without relying on movement planning and explicit internal models of the environment.

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The self-organization of ball bouncing

et al. 2018

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The hybrid rhythmic ball-bouncing task considered in this study requires a participant to hit a ball in a virtual environment by moving a paddle in the real environment. It allows for investigation of the online visual control of action in humans. Changes in gravity acceleration in the virtual environment affect the ball dynamics and modify the ball-paddle system limit cycle. These changes are shown to be accurately reproduced through simulation by a model integrating continuous information-movement couplings between the ball trajectory and the paddle trajectory, giving rise to a resonance-tuning phenomenon. On the contrary, the tested models integrating only intermittent sensorimotor couplings were unable to replicate the observed human behavior. Results suggest that the visual control of action is achieved online, in a prospective way. Human rhythmic motor control would benefit from the timing and phase control emerging from the low-level continuous coupling between the central pattern generator and the visual perception of the ball trajectory. This control strategy, which precludes the need for internal clock and explicit environmental representation, is also able to explain the empirical result that the bounces tend to converge toward a passive stability regime during human ball bouncing.

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Development of information–movement couplings in a rhythmical ball-bouncing task: from space- to time-related information

Cited by 4 publications

References 32 publications

Coupled nutrient removal from the wastewater and CO<SUB align="right">2 biofixation from the flue gas of iron and steel manufacturing

Coupled nutrient removal from the wastewater and CO<SUB align="right">2 biofixation from the flue gas of iron and steel manufacturing

Model of rhythmic ball bouncing using a visually controlled neural oscillator

The self-organization of ball bouncing

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