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. 2012 Apr 2;109(16):6295–6300. doi: 10.1073/pnas.1121274109

Fig. 4.

Fig. 4.

Global correlations improve task performance in a two-interval, delayed response discrimination task. (A) Schematic showing the stimulation during the loading, maintenance, and decision stages of the task. (B) Spiking network population firing rates (populations A and B) during one trial of the task (local correlations). At the decision stage, the model performed the correct decision (Inline graphic). (C) Population A firing rates for two separate but otherwise identical trials of the task. The fluctuations cause one trial to produce the incorrect decision. (D) Analytic densities Inline graphic for the rate model with Inline graphic s for local (Upper) and global (Lower) correlations for tasks where Inline graphic is large (Left) or small (Right). (E) Probability of correct decision for the firing rate model in (Inline graphic, Inline graphic) parameter space computed from integrals of Inline graphic. The dots correspond to the four cases shown in C. (F) Probability of correct decision computed from the spiking model (5,000 trials) as a function of Inline graphic for local and global correlations.