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. Author manuscript; available in PMC: 2012 Apr 13.
Published in final edited form as: Vision Res. 2010 Nov 9;51(7):771–781. doi: 10.1016/j.visres.2010.09.027

Figure 6.

Figure 6

Accuracy Maximization Analysis (AMA): a method of using ideal observer theory to find optimal features for natural tasks. The Bayesian optimal decoder knows the mean and variance of the responses of each RF to each stimulus in the training set. In this case, the accuracy of the decoder in the task can be approximated with a closed form expression. The receptive fields are found one at a time by modifying their shape until maximum accuracy on the training set is obtained. Final RFs for a foreground identification task are shown.