论文信息 - Evolution and analysis of non-autonomous neural networks for walking: reflexive pattern generators

Evolution and analysis of non-autonomous neural networks for walking: reflexive pattern generators

This paper summarizes the results of the dynamical systems analysis of 422 Continuous-Time Recurrent Neural Network (CTRNN) single-leg locomotion controllers evolved under conditions where reliable sensory information was always available. The general principles underlying the operation of all 422 resulting Reflexive Pattern Generators (RPGs) are discussed. Several RPG operation features are explained and verified. Finally, discussion is made of future extensions of this research.

John C. Gallagher

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