Model of rhythmic ball bouncing using a visually controlled neural oscillator
| Autor: | Pedro Rodriguez-Ayerbe, Maria Makarov, Guillaume Avrin, Isabelle A. Siegler |
|---|---|
| Přispěvatelé: | Complexité, Innovation, Activités Motrices et Sportives (CIAMS), Université Paris-Sud - Paris 11 (UP11)-Université d'Orléans (UO), Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Adult
Male Visual perception Physiology Computer science Movement Models Neurological Sensory system Visual control 050105 experimental psychology [SPI.AUTO]Engineering Sciences [physics]/Automatic 03 medical and health sciences Neural oscillators 0302 clinical medicine Control theory Digital pattern generator Limit cycle Attractor Humans 0501 psychology and cognitive sciences ComputingMilieux_MISCELLANEOUS Feedback Physiological Communication Perception-action couplings business.industry General Neuroscience 05 social sciences Behavioral modeling Central pattern generator Hand Central Pattern Generators Visual Perception Ball bouncing Female [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] Sensorimotor Cortex business 030217 neurology & neurosurgery Research Article |
| Zdroj: | Journal of Neurophysiology Journal of Neurophysiology, American Physiological Society, 2017, ⟨10.1152/jn.00054.2017⟩ |
| ISSN: | 0022-3077 1522-1598 |
| Popis: | 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. NEW & NOTEWORTHY 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. |
| Databáze: | OpenAIRE |
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