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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 1. Decorrelation amplifies the effect of noise in neural coding.

Figure 1

(A) One of the possible optimal configurations of neural thresholds in the presence of correlations. Neuron 1 encodes the input value along the direction of largest variance, whereas neuron 2 encodes the input value along the other dimension. (B) The thresholds values of the two neurons are proportional to the input variances along their respective relevant dimensions. (C and D) are equivalent to (A) and (B) except that the input scales are rescaled by their respective variances. This representation emphasizes that decorrelation increases the effective noise for neuron 2.