Abstract
Movement of the intelligent beings is various, which is divided into two major types: the rhythmic movement and the non-rhythmic movement. The generation of the rhythmic movement uncertain is induced by the responding signals of the peripheral neural receivers, but is generated spontaneously by the central pattern generator (CPG). CPG not only can generate the rhythmic movement, but also can change the frequency and pattern of movement. This paper is based on the revised CPG neural network model which has relation with the movement of legs. We carry on a series of computer number analysis and imitation to further elaborate many characteristics of the rhythmic movement. The research results show that three greatest characteristics of the rhythmic movement respectively are: rhythm, coordination and variety. The paper further reveals the biological properties of gait movement on the intelligent beings and the characteristics of various rhythmic movements.
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Dong, W., Wang, R., Zhang, Z. (2009). Simulation Study of CPG Model: Exploring of a Certain Characteristics of Rhythm of Gait Movement on the Intelligent Creature. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01507-6_17
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DOI: https://doi.org/10.1007/978-3-642-01507-6_17
Publisher Name: Springer, Berlin, Heidelberg
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