RTD-BASED CELLULAR NEURAL NETWORKS WITH MULTIPLE STEADY STATES
Makoto Itoh, Pedro Marcelo Julian, Leon Ong Chua · International Journal of Bifurcation and Chaos · 2001
In this paper, we study the relationship between the standard cellular neural network (CNN) and the resonant tunneling diode (RTD)-based CNN. We investigate the functional and advanced capabilities of a new generation of CNNs that exploit the multiplicity of steady states. We also include in the analysis higher order CNNs. Furthermore, some methods for designing RTD-based CNNs with multiple steady states are presented.