Analogue Globally Stable WTA Neural Circuit

A new inhibitory analogue WTA (winner-take-all) neural circuit which identifies maximal among N unknown input signals is proposed. As a building block the second order analogue globally stable neural network of Hopfield type is used. The connection matrix belongs to the class of diagonally stable block diagonal matrices and the activation functions are piecewise linear or sigmoid. The mathematical justification of the circuit functioning, comparative evaluation with analogs and computer simulation results are given