Method of processing information in artificial neural networks

A method of processing information in an artificial neural network comprising a plurality of artificial neurons (1a to 1n) and weighted links (2) coupling the neurons. In the method, those of the artificial neurons (1a to 1n) whose output values change by a value greater than a threshold value (T) are selected. The output values of the selected neurons are calculated, and the influence which the changes in the output values of the selected neurons impose on the input values of the other artificial neurons is computed. The threshold value (T) is changed such that an appropriate number of neurons are selected. The information processing in the artificial neural network is stopped when the threshold value decreased below a predetermined small value and the values output by all artificial neurons change by a value equal to or less than the threshold value.