Some simulated properties of the pseudostructure of a floating gate MOS transistor

The floating gate technology is widely used as a memory element in digital circuits and as a novel memory element in analogue technology. In this work we prepare the basis for on-chip implementation of a Cellular Neural Network (CNN). For this purpose we investigate the features of a pseudo-floating gate transistor introduced in [1]. After simulating the structure by T-CAD tool we designed a behavioural model in SPICE that could be implemented into CADENCE design tool.