Analog CMOS implementation of a discrete time CNN with programmable cloning templates

An analog CMOS implementation of cells for building discrete-time cellular neural networks (DT-CNNs), based on current-mode multipliers and capacitive storage for the analog initial states and cloning templates, is presented. Since the cloning templates are programmable, the circuit could be used for several applications, or it could be reconfigured to perform different tasks on the initial input data sequentially. A chip prototype containing to DT-CNN cells has been designed and manufactured, and some experimental results showing the functionality of the circuit are provided