Abstract
This paper investigates the effect of pulsed currents and multi-piecewise memristor on dynamic behavior of memristive Hopfield neural network (HNN). Firstly, a four-neuron HNN model is constructed by using the traditional memristor as the connecting synapse and its dynamic behavior is analyzed. Secondly, the traditional memristor in the HNN is replaced with a multi-piecewise memristor, and external pulse currents are applied to the model. The system exhibits rich dynamical behavior by introducing varying numbers of pulse current stimuli and adjusting the parameters of the multi-piecewise memristor. Experimental results demonstrate that the number of attractors in the system changes when pulse currents are applied, and after a period of chaotic behavior, the system eventually exhibits periodic activity. Furthermore, adjusting the parameters of the multi-piecewise memristor can generate multiple scroll attractors in the system. Finally, the experimental results were verified by Multisim.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
