Abstract
The neurological mechanism used for generating rhythmic patterns for functions such as swallowing, walking, and chewing has been modeled computationally by the neural oscillator. It has been widely studied by biologists to model various aspects of organisms and by computer scientists and robotics engineers as a method for controlling and coordinating the gaits of walking robots. Although there has been significant study in this area, it is difficult to find basic guidelines for programming neural oscillators. In this paper, the authors approach neural oscillators from a programmer’s point of view, providing background and examples for developing neural oscillators to generate rhythmic patterns that can be used in biological modeling and robotics applications.
Cite
CITATION STYLE
McDowell, P., & Beaubouef, T. (2012). Neural Oscillators Programming Simplified. Applied Computational Intelligence and Soft Computing, 2012, 1–9. https://doi.org/10.1155/2012/963917
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