Literature DB >> 17123097

Early motor development from partially ordered neural-body dynamics: experiments with a cortico-spinal-musculo-skeletal model.

Yasuo Kuniyoshi1, Shinji Sangawa.   

Abstract

Early human motor development has the nature of spontaneous exploration and boot-strap learning, leading to open-ended acquisition of versatile flexible motor skills. Since dexterous motor skills often exploit body-environment dynamics, we formulate the developmental principle as the spontaneous exploration of consistent dynamical patterns of the neural-body-environment system. We propose that partially ordered dynamical patterns emergent from chaotic oscillators coupled through embodiment serve as the core driving mechanism of such exploration. A model of neuro-musculo-skeletal system is constructed capturing essential features of biological systems. It consists of a skeleton, muscles, spindles, tendon organs, spinal circuits, medullar circuits (CPGs), and a basic cortical model. Through a series of experiments with a minimally simple body model, it is shown that the model has the capability of generating partially ordered behavior, a mixture of chaotic exploration and ordered entrained patterns. Models of self-organizing cortical areas for primary somatosensory and motor areas are introduced. They participate in the explorative learning by simultaneously learning and controlling the movement patterns. A scaled up version of the model, a human infant model, is constructed and put through preliminary experiments. Some meaningful motor behavior emerged including rolling over and crawling-like motion. The results show the possibility that a rich variety of meaningful behavior can be discovered and acquired by the neural-body dynamics without pre-defined coordinated control circuits.

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Year:  2006        PMID: 17123097     DOI: 10.1007/s00422-006-0127-z

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  14 in total

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8.  Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment.

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Journal:  PLoS Comput Biol       Date:  2008-11-07       Impact factor: 4.475

9.  A psychology based approach for longitudinal development in cognitive robotics.

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Journal:  Front Neurorobot       Date:  2014-01-27       Impact factor: 2.650

10.  From spontaneous motor activity to coordinated behaviour: a developmental model.

Authors:  Hugo Gravato Marques; Arjun Bharadwaj; Fumiya Iida
Journal:  PLoS Comput Biol       Date:  2014-07-24       Impact factor: 4.475

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