If this value is zero, there is no association between the pattern and the input. A maximum returned value of 15 indicates that the necessary input required for maximum actuation is present. It is worth while to note that the input is only minimally bounded. The non-minimal values of mask members do not shift the actuation level upward. BNeuro differs from ART2 or other neural networks.
Most neural networks attempt to identify a single winning output neuron for a given set of inputs.
This neurophysiological application requires that BNeuro identify all patterns which occur and the fractional degree to which the patterns are present at the input. Once BNeuro has established and returned the fractional degree to which the patterns are present at the input, subsequent frames are analyzed in the same manner. BNeuro represents each output neuron as a muscle shell. Each metacarpal joint has a grouping of four muscle shells. Each shell is symbolic, the uppermost to lowermost shell representing adduction, flexion, extension, and abduction.