Self-organizing network for feature-map formation: analog integrated circuit robust to device and circuit mismatch

Abstract

A network model self-organizing a feature map was proposed and investigated in computer simulations as well as experiments. The network was quite effective for self-organizing a feature map, in which winner groups are formed with redundant neurons. Fundamental circuits for the self-organizing network were developed. The experimental results were in good agreement with results of SPICE simulation. It was verified in a primitive network that feature maps were self-organized with high probability for 9 input patterns. It was clarified that redundant neurons forming a winner group are a key for solving a problem of wrong operation in analog circuits caused by the device and circuit mismatch.