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

Abstract:

: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.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Müller-Wilm U

doi

10.1007/BF00200811

subject

Has Abstract

pub_date

1993-01-01 00:00:00

pages

519-26

issue

6

eissn

0340-1200

issn

1432-0770

journal_volume

68

pub_type

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