Résumé
In this paper, new models of chaotic attractors are presented. In doing so, an old chaotic attractor based on the mathematical model of a Variable Structure Model of Neurons (VSMN) is developed. It is then generated by neuron with oscillators. As a result, new styles of new chaotic attractors are found. Also, a detailed bifurcation analysis of those new chaotic systems with theory and simulations is discussed. Finally, the numerical examples will illustrate each model with its simulation using Python. We found out that the new systems are chaotic and could be used for different applications like image encryption.