A neuron-like network with the ability to learn coordinated movement patterns

✍ Scribed by Uwe Müller-Wilm

• Book ID: 104660782
• Publisher: Springer-Verlag
• Year: 1993
• Tongue: English
• Weight: 806 KB
• Volume: 68
• Category: Article
• ISSN: 0340-1200
• DOI: 10.1007/bf00200811

✦ Synopsis

A model calculation is presented simulating the coordinated interaction between the walking legs of a multi-legged animal. The neural network consists of separate modules with oscillatory capabilities. It has the ability to adjust the necessary parameters for producing a coordinated interaction between the modules in a self-organizing fashion. Some sort of reinforcement comparison learning is used to train the network. It starts oscillations in a completely uncoupled state. After about 100 learning steps, the generation of a stable alternating pattern is usually terminated. Then, the network is able to maintain synchronization, even when disturbances are applied to single agents or to the network as a whole.