Computational Intelligence and Neuroscience / 2009 / Article / Fig 4

Research Article

Unsupervised Learning of Overlapping Image Components Using Divisive Input Modulation

Figure 4

Errors in parsing the overlapping squares tasks with (a) 𝚍 πš’ πš– , (b) πš— πš– 𝚏 𝚜 𝚎 𝚚 , and (c) πš— πš– 𝚏 𝚍 πš’ 𝚟 ; πš‘ 𝚊 πš› πš™ 𝚞 πš› , and 𝚏 𝚒 𝚏 𝚎 in each case. Each bar shows the proportion of errors generated across 1000 test images. Each bar is subdivided into the proportion of false negatives (lighter, lower, section) and the proportion of false positives (darker, upper, section).

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