Neural oscillators programming simplified

Authors:
Patrick McDowell;Theresa Beaubouef
Affiliations:
Department of Computer Science and Industrial Technology, Southeastern Louisiana University, Hammond, LA;Department of Computer Science and Industrial Technology, Southeastern Louisiana University, Hammond, LA
Venue:
Applied Computational Intelligence and Soft Computing
Year:
2012

Citing 3
Cited 0

Reconstruction of small neural networks

Methods in neuronal modeling
Evolution and development of a central pattern generator for the swimming of a Lamprey

Artificial Life
Reinforcement learning for a biped robot based on a CPG-actor-critic method

Neural Networks

Quantified Score

Hi-index	0.00

Visualization

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.