Neural Computation with Rings of Quasiperiodic Oscillators
E.A. Rietman, R.W. Hillis
TL;DR
This paper explores how quasiperiodic oscillators can be used for robotic computation and control, linking their dynamics to biological central pattern generators through a developed group theory.
Contribution
It introduces a novel framework connecting quasiperiodic oscillators with biological CPGs and provides a mathematical group theory for their dynamics.
Findings
Quasiperiodic oscillators can effectively control robotic systems.
A new group theory describes the dynamics of these oscillators.
The approach relates to biological central pattern generators.
Abstract
We describe the use of quasiperiodic oscillators for computation and control of robots. We also describe their relationship to central pattern generators in simple organisms and develop a group theory for describing the dynamics of these systems.
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Taxonomy
TopicsNeural Networks and Applications · Fractal and DNA sequence analysis · Mathematical Dynamics and Fractals