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. 2009 Feb 20;5(2):e1000286. doi: 10.1371/journal.pcbi.1000286

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Maoz Shamir.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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tWTA accuracy, in terms of the root mean square estimation error, , is shown as a function of the correlations' strength, , in a hypercolumn model, as defined in section ‘effect of correlations on the tWTA estimation accuracy’, see equation (34). The solid line shows the analytical asymptotic value, equation (35). Open squares show the numerical estimation of the asymptotic value as calculated by averaging the tWTA estimation error over 100 trials in a hypercolumn model of cells. The latency function that was used was: . To minimize the effect of finite , an extremely high firing rate of was used in the IHPP simulations.

Inline graphic — tWTA accuracy, in terms of the root mean square estimation error, , is shown as a function of the correlations' strength, , in a hypercolumn model, as defined in section ‘effect of correlations on the tWTA estimation accuracy’, see equation (34). The solid line shows the analytical asymptotic value, equation (35). Open squares show the numerical estimation of the asymptotic value as calculated by averaging the tWTA estimation error over 100 trials in a hypercolumn model of cells. The latency function that was used was: . To minimize the effect of finite , an extremely high firing rate of was used in the IHPP simulations.