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. Author manuscript; available in PMC: 2015 Sep 17.
Published in final edited form as: Neuron. 2014 Sep 17;83(6):1329–1334. doi: 10.1016/j.neuron.2014.08.040

Figure 3. Cross-over between different encoding schemes.

Figure 3

In scheme 1, neuron classes are defined based on different input. The mutual information depends on both correlation between inputs and the neural noise level. In scheme 2, neuron classes are defined based on differences in thresholds for the same input feature. The mutual information is independent of stimulus correlations and is shown here with lines parallel to the x-axis. Color denotes the noise level relative to the standard deviation along the dimension of largest variance. All simulations have been matched to have the same average spike rate across inputs (values are as in Figure 2). Suboptimal solutions (after the cross-over) are shown using dashed and dotted lines, respectively for the case of parallel and orthogonal solutions.