Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neuro-Control Systems: Theory and Applications
Neuro-Control Systems: Theory and Applications
Specification and Design of Embedded Hardware-Software Systems
IEEE Design & Test
Chaotic neuron models and their VLSI circuit implementations
IEEE Transactions on Neural Networks
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A single chaotic neuron can be developed using a single neuron with a Gaussian activation function and feeding back the output to its input. The Gaussian activation function has two parameters, the center of mass and the width of the bell called sensibility factor. The change of these parameters determines the behavior of the single neuron that could be stationary but more of the times is dynamic inclusive chaotic. This paper presents an implementation of this single neuron in an embedded system generating a set of bifurcation plots illustrating the dynamic complexity that could have this simple system.