Neural Information Encoding Based on a Bifurcation Machinery

Neural information encoding mechanism based on a bifurcation machinery was proposed based on the results on two experimental models and theoretical models. The framework structures of bifurcation scenarios of neuronal firing pattern were acquired in the experimental neural pacemaker. The dynamics of dynamic neural firing pattern and the neural information encoding of firing patterns were elucidated in the experiment on rabbit depressor nerve, based on the bifurcation structure of firing patterns, and the mean level and temporal procedure of blood pressure.