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Updated: Jul 7, 2026

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Existence, learning, and replication of periodic motions in recurrent neural networks
1Centre for Systems and Control Engineering, University of Exeter, Exeter EX4 4QF, UK.
IEEE Transactions on Neural Networks
|February 7, 2008
Abstract:
A class of recurrent neural networks is shown to possess a stable limit cycle. A gradient type algorithm is used to modify the parameters of the network so that it learns and replicates autonomously a time varying periodic signal. The results are applied to controlling the repetitive motion of a two-link robot manipulator.
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