A fast analogue K-winners-take-all neural circuit

A continuous-time model of analogue K-winners-take-all (KWTA) neural circuit which is capable of identifying the K largest of any unknown finite value N distinct inputs, where 1≤ K <; N is presented. The model is described by a state equation and by an output equation. A corresponding functional block diagram of the circuit is presented as N feedforward hard-limiting neurons and two feedback neurons, which are used to determine the dynamic shift of inputs. The circuit combines such properties as high accuracy, low hardware implementation complexity, and independency of initial conditions. Simulation examples demonstrating the circuit performance and some of its applications are presented. According to simulation results, the circuit possesses a higher convergence speed to the KWTA operation than other comparable analogs.