The article explores a mathematical model of neuron behavior, finding different types of changes in its dynamics. They discovered that the model can undergo various types of bifurcations, which are sudden changes in behavior. By analyzing the model, they identified specific conditions for these changes to occur. The study also showed that the model can exhibit interesting patterns, like symmetric orbits, which can be useful for designing models of neuron behavior and humanoid movement.