Unsupervised learning of perceptual feature combinations
Fig 6
Classification error (coincidence vs. not coincidence) of the ALL-rule in respect to parameter variations.
Parameters are annealing onset threshold and annealing rate. Decision threshold is 0.5. Panels (A-L) variable amplitude, coincidence and presentation frequency; panels (M-P) extreme cases: bigger variance, smaller coincidence, bigger amplitude difference, bigger frequency difference. Averages over 20 trials are shown. Initial weights are ω(0) = [0.001, 0.001]T and initial learning rate μ0 = 0.0005; Euler integration with step dt = 1.