A novel architecture for loser-take-all functions is proposed. Inputs and outputs of the circuit are currents, which make the circuit appropriated for low-voltage neural hardware computation. In contrast to most existing realisations the circuit does not require subtraction from a fixed reference what decreases accuracy and input dynamic. Moreover, in addition to the loser, it also outputs the minimum input current.