Model of rhythmic ball bouncing using a visually controlled neural oscillator
Résumé
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.
Mots clés
- ball bouncing
- coordination
- tracking
- models
- neurological
- central pattern generators
- hand
- sensorimotor cortex
- behavioral modeling
- information-movement couplings
- neural oscillators
- discrete
- passive stability
- female
- Ball bouncing
- Behavioral modeling
- Neural oscillators
- Perception-action couplings
- Visual control
- perception
- humans
- male
- active control
- adult
- synchronization
- visual perception
- dynamics
- task
- visual control
- movement
- feedback
- physiological
Domaines
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|---|
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