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. Author manuscript; available in PMC: 2009 Nov 1.
Published in final edited form as: Nat Neurosci. 2009 Apr 19;12(5):655–663. doi: 10.1038/nn.2304

Figure 4.

Figure 4

Changes in choice probability of neurons in the sensory representation with training a, Pseudocolor plot depicting the structure of noise correlations between one neuron with median neurometric sensitivity and tuned to 0° motion and other neurons in the population with different sensitivities and direction tunings. The correlations depend only on the difference in direction tuning between neurons. b, Choice probability of sensory neurons tuned to rightward motion (0°), computed for neurons binned by sensitivity (6%-80% coh in logarithmic increments of 1.06) for three different training epochs. Error bars are s.e.m. over ten simulations. Solid lines are weighted linear fits. Choice probability tended to increase with training but did not depend on sensitivity. c, d, Same conventions as in a, b, showing the results of simulations that used correlations that depended on the difference in both direction tuning and sensitivity between neurons. Choice probability tended to increase with training, particularly for the most sensitive neurons.