A mixed mode real-time VLSI implementation of a shunting inhibition cellular neural network

In this paper a real-time mixed analog digital VLSI implementation of a shunting inhibition cellular neural network (SICNN) is presented. Unlike the usual VLSI implementation of vision chips, this circuit is based on a mixed analog-digital technology where the processing is realized using current mode analog approach while the cellular neural network topology (size of the window and connectivity) is realized using a modified digital read-out circuit. A significant processing speed-up is achieved using this technique since the window-based processing of the SICNN is realized in analog-domain while reading the pixel using the modified digital read-out circuit. A prototype including a 58×58 pixels and the SICNN processor with a programmable user-defined window size of 3×3 or 5×5 has been designed. The circuit also includes an amplifier and a successive approximation analogue-to-digital converter. The circuit has been designed using Alcatel CMOS 0.7 μm technology and occupies a silicon area of 11 mm²