A 9×9 multi-chip board for cellular neural networks
Mário Sérgio Salerno, F. Sargeni, Vincenzo Bonaiuto · 2002
Cellular neural networks represent one of the most interesting neural network class for VLSI implementations. Their main feature is the local interconnections among cells that is really appealing for hardware realizations. This paper presents a multichip 9/spl times/9 CNN board which is made up of nine 3/spl times/3 DPCNN chips. This 9/spl times/9 CNN board is fully controllable by a Personal Computer. A proper software program is presented which enables the selection of all the entries of the templates, the input and initial voltage, and the steady-state voltage acquisitions.