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. Author manuscript; available in PMC: 2009 Sep 10.
Published in final edited form as: Vision Res. 2005 May;45(11):1399–1412. doi: 10.1016/j.visres.2004.11.021

Fig. 6.

Fig. 6

Percent-correct of letter identification is plotted as a function of percent-agreement between the two runs of the identical signal-noise combination (the double-pass method), for an external noise level of 3% contrast. Straight lines through the data-set represent the curve-fit (see text for details). If an improvement in performance is attributed to a reduction in the internal noise, then the percent-correct vs. percent-agreement function should fan out, or, the slope of the straight line should change systematically, from left to right, as learning progressed. This was not what we found.