Abstract
A chaotic neuron and a chaotic neural network have been applied in a variety of research, e.g., combinatorial optimization problems, dynamical associative memory, and chaos information processing. In addition to such research, a dynamical logic element based on the chaotic neuron model was proposed for novel information processing. This dynamical logic element can switch its logic function by changing the threshold and coupling coefficient to the inputs. Moreover, it has chaotic transition regions among digital (logic) states. The dynamical logic element has been implemented by a switched-capacitor (SC) chaotic neuron circuit technique, and then the basic operation of the circuit was verified through experiments. However, the dynamical logic element has several disadvantages. Therefore, we recently modified the element, and showed its improvement experimentally. In the present paper, we further improve the logic element, and propose a SC circuit implementation of the improved dynamical logic element. In addition, we verify the digital and analog characteristics of the proposed circuit through circuit experiments.The dynamical logic element has been implemented by a switched-capacitor(SC) chaoticneuroncircuittechnique, and then the basic operation of the circuit was verified through experiments. However, the dynamical logic element has several disadvantages. Therefore, we recently modified the element,and showed its improvement experimentally. In the present paper, we further improve the logic element, and propose a SC circuit implementation of the improved dynamical logic element. In addition, we verify the digital and analog characteristics of the proposed circuit through circuit experiments.
